# Probability determination

## Subclass of:

## 702 - Data processing: measuring, calibrating, or testing

## 702127000 - MEASUREMENT SYSTEM

## 702179000 - Statistical measurement

### Patent class list (only not empty are listed)

#### Deeper subclasses:

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Document | Title | Date |
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20150106058 | SYSTEMS AND METHODS FOR IMPROVED RELIABILITY OPERATIONS - A system for improved reliability operations of a system with a heat recovery steam generator (HRSG) are presented. The system includes a processor configured to execute a model library to model a safety system. The model library includes a plurality of subsystem models each configured to derive a reliability measure. The system also includes the HRSG and an HRSG advisory system. The HRSG advisory system may be executed by the processor and is configured to receive one or more condition monitoring algorithm results, receive one or more measurements; and determine a probability of failure for the HRSG based at least in part on the one or more condition monitoring algorithm results, the one or more measurements, the model library, or a combination thereof. Moreover, determining the probability of failure includes determining a most likely state of a plurality of states of the HRSG. | 04-16-2015 |

20090299695 | SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM - A method for advanced condition monitoring of an asset system includes sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor; estimating sensed values of the operating condition by using an auto-associative neural network; determining a residual vector between the estimated sensed values and the actual values; and performing a fault diagnostic on the residual vector. In another method, an operating space of the asset system is segmented into operating regimes; the auto-associative neural network determines estimates of actual measured values; a residual vector is determined from the auto-associative neural network; a fault diagnostic is performed on the residual vector; and a change of the operation of the asset system is determined by analysis of the residual vector. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention. | 12-03-2009 |

20140005980 | METHOD FOR TAGGING REFERENCE MATERIALS OF INTEREST IN SPECTROSCOPIC SEARCHING APPLICATIONS | 01-02-2014 |

20120245891 | ELECTRONIC APPARATUS SYSTEM FOR CALCULATING FAILURE PROBABILITY OF ELECTRONIC APPARATUS - There is provided an electronic apparatus system. The system includes: an electronic apparatus; and a server configured to receive usage information about usage status of the electronic apparatus. The server includes: a first database; a second database; a writer configured to store the usage information in the first database and to write a flag value into the second database, wherein the flag value indicates whether or not the usage information is transmitted from the electronic apparatus through a network; a generator configured to generate a first parameter for calculating a failure probability of the electronic apparatus, based on the usage information and repair information of the electronic apparatus, wherein the repair information is stored in the server in advance; and a transmitter configured to transmit the first parameter to the electronic apparatus. | 09-27-2012 |

20140012541 | REMOTE IDENTIFICATION OF NON-LAMBERTIAN MATERIALS - In one example of a method for remote identifying a non-Lambertian target material, a spectral signature for a target is determined from each of at least two different sets of imagery acquired at different angles, and compared to a predicted signature for a candidate material for each of the at least two different angles. The predicted signatures take into account the known anisotropy of reflectance, and thus also radiance, of the candidate material. | 01-09-2014 |

20100010776 | PROBABILISTIC MODELING OF COLLABORATIVE MONITORING OF POLICY VIOLATIONS - A payoff matrix based collaborative monitoring model presents a formal framework for defining policies to assign different payoffs for different subjects corresponding to their reporting behavior against different policy violations. An embodiment such as a formal model can be used by security administrators to get better estimates on various factors affecting the required parameters controlling the payoff values, e.g., reporting behavior of users, group dynamics, characteristics of the violations, and likelihood of detection. The proposed model effectively complements the payoff matrix-based approach for enabling the collaborative monitoring of policy violations. | 01-14-2010 |

20100332186 | Probabilistic Estimation of a Time Interval Between Periodic Events Disturbing a Signal - The embodiments of the invention disclose a method for a probabalistical determination of a time interval between events, wherein the events periodically disturb a signal. The method determines, as a function of time, probabilities of occurrences of the events based on values of the signal, wherein the signal is Jittered, and determines, based on the probabilities of the occurrences of the events, probabilities of correspondence of a set of possible time intervals to the time interval between the events producing a set of probabilities of the possible time intervals suitable for determining the time interval between the events. | 12-30-2010 |

20090271148 | COLD-START IN SITUATION-AWARE SYSTEMS - A definition of a set of context variables to be considered is received, wherein the context variables represent categories of situations in which the computer system can be. A definition of a set of activities to be considered is also received, wherein the activities represent activities that can be performed using the computer system. For each context variable to be considered, a definition of a set of states to be considered is received, wherein the states represent situations in which the computer system can be. For each context variable to be considered, a specification of first probability distributions for each corresponding state is received. For each context variable to be considered, for each activity to be considered, a specification of second probability distributions to represent the likelihood of the activity being performed in the corresponding context is received. Usage data is generated using the first second probability distributions. | 10-29-2009 |

20110119031 | METHOD OF ADAPTIVE DATA ACQUISITION - Methods for adaptive data acquisition are disclosed herein. In one aspect, methods for adaptive data acquisition include performing a first sensing method on a signal having a plurality of components to determine the likelihood that a component is not a relevant signal component, retaining a portion of the signal components sensed using the first sensing method that are above a first threshold, performing a second sensing method on the signal components retained above a first threshold to determine the likelihood that a component is not a relevant signal component, wherein the second sensing method is more reliable than the first sensing method at determining the likelihood that a component is not a relevant signal component, and retaining a portion of the signal components sensed using the second sensing method that are above a second threshold. | 05-19-2011 |

20110119030 | DESIGN OF EXPERIMENT PARAMETERS FOR WALD'S SEQUENTIAL TESTS BASED ON CONTINUED FRACTIONS - Test characteristics are determined at vertices of a rectangle defined on a sequential probability ratio test plot of a number of failures of a new physical system versus a number of failures of a baseline physical system. Based on the test characteristics, errors of first and second order are approximated as planes. Based on the approximating, intercepts of accept and reject boundaries are estimated. Based on slopes of the planes and actual values of the errors of the first and second orders, a starting point is determined on a graph of values of an intercept of the reject boundary and values of an intercept of the accept boundary. A minimum of an operating characteristic function is determined by alternative advances, commencing at the starting point, parallel to an axis representing the accept boundary intercept and an axis representing the reject boundary intercept. | 05-19-2011 |

20120029873 | MACHINE-IMPLEMENTED METHOD AND AN ELECTRONIC DEVICE FOR GRAPHICALLY ILLUSTRATING A STATISTICAL DISPLAY BASED ON A SET OF NUMERICAL DATA, AND A COMPUTER PROGRAM PRODUCT - A machine-implemented method for graphically illustrating a statistical display based on a set of numerical data includes the steps of: (a) finding a median and a subset of the numerical data, each corresponding to a member of a predetermined set of cumulative distribution probabilities of the Gaussian distribution; (b) computing a mean and a standard deviation; (c) computing a plurality of reference values, each differing from the mean by a corresponding predetermined number multiplied by the standard deviation; (d) generating a plot that includes a first line, a second line and a plurality of connecting lines, the first line having the median and the subset marked thereon, the second line having the mean and the reference values marked thereon, the connecting lines respectively connecting the median and the mean, and corresponding pairs of the subset of the numerical data and the reference values; and (e) outputting the plot for viewing by a user. | 02-02-2012 |

20110040525 | METHOD AND SYSTEM FOR CALCULATING ELEMENTARY SYMMETRIC FUNCTIONS OF SUBSETS OF A SET - A method and system that calculate elementary symmetric functions of subsets of a set {Z} comprising a total of m numerical elements in an m | 02-17-2011 |

20120016635 | Characterization of Single-Photon Detectors Using a Continuous Wave Laser Source - Operational parameters of a single-photon detector are determined with a continuous wave laser source. At a fixed trigger, a dark count probability and a series of count probabilities at different optical powers are determined. A particular optical power is selected by using a wide-range variable attenuator to attenuate the optical power of the continuous wave laser. The dark count probability and the count probabilities are determined for different trigger rates. The operational parameters include efficiency, afterpulsing constant, and detrap time. The operational parameters are computed by fitting the computed dark count probabilities and count probabilities to a user-defined relationship. | 01-19-2012 |

20120016634 | Characterization of Single-Photon Detectors Using a Source of Photon Pairs - Operational parameters of a single-photon detector are determined with a source of photon pairs. At a fixed trigger, a dark count probability and a series of count probabilities at different optical powers are determined. A particular optical power is selected by adjusting the optical power of the source of photon pairs. The dark count probability and the count probabilities are determined for different trigger rates. The operational parameters include efficiency, afterpulsing constant, and detrap time. The operational parameters are computed by fitting the computed dark count probabilities and count probabilities to a user-defined relationship. | 01-19-2012 |

20110218768 | Sequential Sensing Scheme for Cognitive Radio Based on a Block of Received Samples - A method and system for determining whether a given electromagnetic frequency is in use includes applying a transformation to an amplitude of received samples, adjusting the transformed samples by a constant based on a minimum detection signal-to-noise ratio; combining the adjusted samples to produce a test statistic; and using a processor to make a determination regarding if the frequency is in use based on the test statistic exceeded or falling below a threshold, said test statistic being based on Ξ | 09-08-2011 |

20110046920 | METHODS AND SYSTEMS FOR THREAT ASSESSMENT, SAFETY MANAGEMENT, AND MONITORING OF INDIVIDUALS AND GROUPS - The disclosure generally relates to methods and systems anticipating a potentially threatening or dangerous incident, and providing varying levels of response to a user. In an exemplary embodiment, the present invention provides varying levels of assistance to a user prior to, during, and after a threatening incident occurs. By providing assistance prior to a threatening incident occurring, the system may be able to thwart potential attacks, bodily harm, robberies, break-ins, and other criminal or dangerous activity. The assistance can be, for example, in the form of deterrents, alerting first responders to go to the scene, sending security personnel to the scene, remotely monitoring the scene, remotely interacting with the scene, providing information and advice to the user. | 02-24-2011 |

20150324327 | TECHNIQUES TO PERFORM INTERPOLATION FOR STATISTICAL TESTS - Techniques to perform interpolation for statistical tests are described. An apparatus may comprise processor circuitry and a simulated data component for execution by the processor circuitry to generate simulated data for a statistical test, statistics of the statistical test based on parameter vectors to follow a probability distribution. The apparatus may further comprise a statistic simulator component for execution by the processor circuitry to simulate statistics for the parameter vectors from the simulated data, each parameter vector represented with a single point in a grid of points. The apparatus may further comprise a code generator component for execution by the processor circuitry to remove selective points from the grid of points to form a subset of points, and generate interpolation code to interpolate a statistic of the statistical test on any point. Other embodiments are described and claimed. | 11-12-2015 |

20120179421 | Emergency Response Management Apparatuses, Methods and Systems - The EMERGENCY RESPONSE MANAGEMENT APPARATUSES, METHODS AND SYSTEMS (“ERMS”) transform emergency related inputs and sensor information into a threat indication category, which is distributed to individuals and/or first responders for managing the threat. In one implementation, the method includes an emergency management processor-implemented method that receives sensor readings from one or more sensor devices and generates risk factors for the at least one sensor device. The generated risk factors are then curve fitted to a plurality of statistical distribution curves including both non-extreme and extreme statistical distributions, wherein each of the statistical distribution curves is indicative of a threat category. The threat category is then determined based on the generated risk factors that provide a best fit with one of the plurality of statistical distribution curves. | 07-12-2012 |

20150324325 | TECHNIQUES TO PERFORM DATA REDUCTION FOR STATISTICAL TESTS - Techniques to perform data reduction for statistical tests are described. An apparatus may comprise an evaluation component to receive a computational representation arranged to generate an approximate probability distribution for statistics of a statistical test, the computational representation to include a simulated data structure with information for estimated cumulative distribution function (CDF) curves for one or more parameter vectors of the statistical test, each parameter vector represented with a single point in a grid of points, the evaluation component to evaluate the simulated data structure to determine whether any points in the grid of points are removable from the simulated data structure with a target level of precision, and a data reduction generator to reduce the simulated data structure in accordance with the evaluation to produce a reduced simulated data structure having a smaller data storage size relative to the simulated data structure. Other embodiments are described and claimed. | 11-12-2015 |

20150324328 | TECHNIQUES TO PROVIDE SIGNIFICANCE FOR STATISTICAL TESTS - Techniques to provide significance for statistical tests are described. An apparatus may comprise a data handler component to receive a real data set from a client device, the real data set to comprise data representing at least one measurable phenomenon, a statistical test component to receive a computational representation arranged to generate an approximate probability distribution for statistics of a statistical test based on a parameter vector, the statistics of the statistical test to follow a probability distribution, generate statistics for the statistical test using the real data set, generate the approximate probability distribution of the computational representation, and a significance generator component to generate a set of statistical significance values for the statistics through interpolation using the approximate probability distribution, the set of statistical significance values comprising one or more p-values. Other embodiments are described and claimed. | 11-12-2015 |

20130338965 | Anomaly Detection Method, Program, and System - A method providing an analytical technique introducing label information into an anomaly detection model. Effective utilization of label information is based on introducing the degree of similarity between samples. Assuming, for example, there is a degree of similarity between normally labeled samples and no similarity between normally labeled and abnormally labeled samples. Also each sensor value is generated by the linear sum of a latent variable and a coefficient vector specific to each sensor. However, the magnitude of observation noise is formulated to vary according to the label information for the sensor values, and set so that normal label unlabeled anomalously labeled. A graph Laplacian is created based on the degree of similarity between samples, and determines the optimal linear transformation matrix according to a gradient method. A optimal linear transformation matrix is used to calculate an anomaly score for each sensor in the test samples. | 12-19-2013 |

20110015896 | Accurate and computationally efficent method of non-central chi square probability density function - Embodiments include systems and methods of non-coherent signal processing. For example, one embodiment includes a method of a non-coherent signal detection. The method includes receiving data indicative of a received signal, and evaluating a probability density function indicative of a signal parameter based on the received data. Evaluating the probability density function comprises identifying at least one of a plurality of terms of summation having at least one peak of the probability density function and evaluating the plurality of terms of a non-central chi-square distribution determining the signal parameter based at least in part on the received data and the calculated probability density. | 01-20-2011 |

20140052409 | DATA-DRIVEN DISTRIBUTIONALLY ROBUST OPTIMIZATION - Embodiments of the disclosure include a method for providing data-driven distributionally robust optimization. The method includes receiving a plurality of samples of one or more uncertain parameters for a complex system and calculating a distribution uncertainty set for the one or more uncertain parameters. The method also includes receiving a deterministic problem model associated with the complex system that includes an objective and one or more constraints and creating a distributionally robust counterpart (DRC) model based on the distribution uncertainty set and the deterministic problem model. The method further includes formulating the DRC as a generalized problem of moments (GPM), applying a semi-definite programing (SDP) relaxation to the GPM and generating an approximation for a globally optimal distributionally robust solution to the complex system. | 02-20-2014 |

20140052408 | DATA-DRIVEN DISTRIBUTIONALLY ROBUST OPTIMIZATION - Embodiments of the disclosure include a system for providing data-driven distributionally robust optimization the system including a processor, the processor configured to perform a method. The method includes receiving a plurality of samples of one or more uncertain parameters for a complex system and calculating a distribution uncertainty set for the one or more uncertain parameters. The method also includes receiving a deterministic problem model associated with the complex system that includes an objective and one or more constraints and creating a distributionally robust counterpart (DRC) model based on the distribution uncertainty set and the deterministic problem model. The method further includes formulating the DRC as a generalized problem of moments (GPM), applying a semi-definite programming (SDP) relaxation to the GPM and generating an approximation for a globally optimal distributionally robust solution to the complex system. | 02-20-2014 |

20160026928 | Automated Diagnostic - State of the art was the European patent application EP 99105884.3 (see application data sheet). This patent application used already non-linear systems of equations and conditional probabilities with one single item in the condition. It was necessary, however, to perfect these theoretical methods and make them practicable. Many improvements and innovative modifications were needed. The following list identifies the innovations that had to be provided: | 01-28-2016 |

20160116377 | FAILURE PREDICTION APPARATUS AND FAILURE PREDICTION SYSTEM - A failure prediction apparatus includes an acquisition unit that acquires, from plural apparatuses to be monitored, state feature amount groups, a classification unit that classifies the plural apparatuses to be monitored for each degree of separation between a reference space which is defined by the plural state feature amount groups acquired by the acquisition unit and the state feature amount group of each of the plural apparatuses to be monitored, and a calculation unit that specifies a class which is classified by the classification unit and corresponds to the degree of separation between the reference space and the state feature amount group of an apparatus to be monitored and subjected to a failure prediction process among the plural apparatuses to be monitored, and calculates a probability of a failure occurring in the apparatus to be monitored and subjected to the failure prediction process. | 04-28-2016 |

20090299696 | DAMAGE PROBABILITY CALCULATING APPARATUS, DAMAGE PROBABILITY CALCULATING METHOD, MAINTENANCE METHOD, AND DAMAGE PROBABILITY CALCULATING PROGRAM - A damage probability calculating apparatus for calculating a damage probability of a specific estimation target includes: a storage unit | 12-03-2009 |

20100241400 | Determining Component Failure Rates Using Accelerated Life Data - A method of statistical analysis is based on an accelerated degradation model for estimating the failure rate from a set of accelerated life data (e.g. stress, humidity, temperature, voltage, resistance, vibration, etc.). The method re-samples randomly distributed data and organizes it into subsets that may be ordered. The maximum is found for each subset. From the maximums a parametric LEV distribution is determined. Maximum Likelihood Estimation methods may be used to find the parameters employed in the determined LEV distribution. The failure rate is calculated using the determined LEV distribution of the sample maximums. | 09-23-2010 |

20100250188 | Laser Targeting System - A simulation system for predicting a likelihood of whether a target object positioned in an environment will be detected by a detection system when illuminated by a laser source. The simulation system may be used for a laser rangefinder application and a laser designator application. The simulation system may provide a detection probability of the target object at a specified range to the detection system or a plurality of detection probabilities as a function of the range to the detection system. The simulation system may provide an indication of an overlap of the beam provided by the laser source on the target object. The simulation system may determine the effect of vibration on the detection of the target object at a specified range. | 09-30-2010 |

20120035884 | REMOTE IDENTIFICATION OF NON-LAMBERTIAN MATERIALS - In one example of a method for remote identifying a non-Lambertian target material, a spectral signature for a target is determined from each of at least two different sets of imagery acquired at different angles, and compared to a predicted signature for a candidate material for each of the at least two different angles. The predicted signatures take into account the known anisotropy of reflectance, and thus also radiance, of the candidate material. | 02-09-2012 |

20090276183 | ASSOCIATING OBSERVATIONS IN A MULTI-SENSOR SYSTEM USING AN ADAPTIVE GATE VALUE - In one aspect, a method to assign observations includes receiving first observations of a first sensor system, receiving second observations of a second sensor system and assigning a set of pairs of the first and second observations predicted to correspond to the same physical position. The assigning includes using a likelihood function that specifies a likelihood for each assigned pair. The likelihood is dependent on the assignment of any other assigned pairs in the set of assigned pairs. The assigning also includes determining the set of assigned pairs for the first and second observations based on the likelihood function. The likelihood function uses a gate value determined from estimating a true volume using nearest neighbor distances determined from the first and second observations. | 11-05-2009 |

20110010131 | RELIABILITY EVALUATION DEVICE, RELIABILITY EVALUATION METHOD, AND RELIABILITY EVALUATION PROGRAM - Provided is a reliability evaluation method and apparatus to evaluate the reliability of map information. The apparatus includes an evaluation object value acquisition unit that acquires an evaluation object value from map information stored in a storage medium. A measurement value acquisition unit acquires measurement values for the evaluation object value using a sensor installed in a vehicle. After acquiring the measurement values, a reliability evaluation unit that selects a reliability evaluation method to evaluate the reliability of the evaluation object value based on a current measured value and the dispersion of the measured values. | 01-13-2011 |

20110010130 | HEALTH MANAGEMENT SYSTEMS AND METHODS WITH PREDICTED DIAGNOSTIC INDICATORS - A system for monitoring the health of a component includes a memory configured to store a health management system for evaluating the health of the component. The health management system includes a first prognostic module, a first diagnostic module, a first failure mode module, and a first functional module. A processor is coupled to the memory and configured to retrieve the health management system from the memory; receive a first prognostic indicator associated with the health of the component; determine a first predicted diagnostic indicator based on the prognostic indicator with the prognostic module; determine a first failure mode probability based on the first predicted diagnostic indicator with the diagnostic module; determine a first failure mode vector based on the first failure mode probability with the failure mode module; and generate a first functional output based on the first failure mode vector with the first functional mode module. | 01-13-2011 |

20100250189 | Method and System for Determination of Detection Probability or a Target Object Based on a Range - A simulation system for predicting a likelihood of whether a target object positioned in an environment will be detected by a detection system when illuminated by a laser source. The simulation system may be used for a laser rangefinder application and a laser designator application. The simulation system may provide a detection probability of the target object at a specified range to the detection system or a plurality of detection probabilities as a function of the range to the detection system. The simulation system may provide an indication of an overlap of the beam provided by the laser source on the target object. The simulation system may determine the effect of vibration on the detection of the target object at a specified range. | 09-30-2010 |

20090281768 | Fracture prediction for crystalline microstructures - A method for predicting failures in crystalline microstructures is described. Fracture stress distribution data obtained from test samples prepared according to the same manufacturing process as a contemplated device is used to characterize the strength of surfaces in a numerical stress analysis of the device. The failure probability is then calculated for surface nodes on the device. The product of all such probabilities yields the overall probability of failure of the device. | 11-12-2009 |

20120245890 | ENERGY MANAGEMENT FOR WIRELESS SENSOR NETWORKS - This invention concerns remote sensor networks, and particularly energy management for wireless sensor networks. In a first aspect the invention is a wireless sensor node specified to operate for a given lifetime, comprising: an onboard computer system and a set of one or more associated sensors. The computer system operates to periodically sample data from each sensor of the set of associated sensors, and to store a multi-state model representing one or more phenomena described by the collected data. And, the computer system operates to calculate a value associated with movement of the phenomena between the states of the multi-state model, and to adjust the rate of sampling of one or more of the set of associated sensors depending on the calculated value. In other aspects the invention is a network of sensor nodes and a method of operation. | 09-27-2012 |

20100250190 | TAG RANKING - Technologies for generating a boosted tag ranking for a media instance, the boosted tag ranking based on probabilistic relevance estimation and tag correlation refining. Such boosted tag rankings may be used for search result ranking, tag recommendation, and group recommendation. | 09-30-2010 |

20110153273 | DEVICE AND METHOD FOR MONITORING A GAS TURBINE - A device and method for monitoring a gas turbine is disclosed. The device includes a receiver for receiving condition values of the gas turbine and an analytical device. The analytical device is designed to determine condition information from the condition values of the gas turbine using Bayes' Prediction. | 06-23-2011 |

20110246136 | METHODS AND APPARATUS FOR COMPUTING A PROBABILITY VALUE OF A RECEIVED VALUE IN COMMUNICATION OR STORAGE SYSTEMS - Methods and apparatus are provided for computing a probability value of a received value in communication or storage systems. A probability value for a received value in a communication system or a memory device is computed by obtaining at least one received value; identifying a segment of a function corresponding to the received value, wherein the function is defined over a plurality of segments, wherein each of the segments has an associated set of parameters; and calculating the probability value using the set of parameters associated with the identified segment. A probability value for a received value in a communication system or a memory device can also be computed by calculating the probability value for the received value using a first distribution, wherein the first distribution is predefined and wherein a mapped version of the first distribution approximates a distribution of the received values and wherein the calculating step is implemented by a processor, a controller, a read channel, a signal processing unit or a decoder. | 10-06-2011 |

20100292959 | Telemetry data analysis using multivariate sequential probability ratio test - One embodiment provides a system that analyzes telemetry data from a monitored system. During operation, the system periodically obtains the telemetry data as a set of telemetry variables from the monitored system and updates a multidimensional real-time distribution of the telemetry data using the obtained telemetry variables. Next, the system analyzes a statistical deviation of the multidimensional real-time distribution from a multidimensional reference distribution for the monitored system using a multivariate sequential probability ratio test (SPRT) and assesses the integrity of the monitored system based on the statistical deviation of the multidimensional real-time distribution. If the assessed integrity falls below a threshold, the system determines a fault in the monitored system corresponding to a source of the statistical deviation. | 11-18-2010 |

20160041948 | Apparatus and Method for System Profile Learning in an Information Handling System - An information handling system includes a processing system including a first sensor, and a second sensor, and a management system including an anomaly table, a learned model table entry associated with the processing system and including a learned model and a first sensor data history, and a prediction module to implement a prediction algorithm. The management system is configured to: receive first sensor data and second sensor data, determine an estimate of a first value of the first sensor data using a second value of the second sensor data, determine a residual of the first value by a comparison of the estimate to the first value, determine a significance of the residual, where the significance having a significant value is associated with a predicted anomaly, determine that an anomaly table entry has a known anomaly class for the predicted anomaly, and perform a remediation plan to resolve the predicted anomaly. | 02-11-2016 |

20100030519 | System for Real-Time Object Damage Detection and Evaluation - A method for determining a probability of damage by an object to be evaluated, including propagating a kinematic state of the object to be evaluated; determining a plurality of probabilities of damage; determining whether each probability of damage is feasible and creating a set of probabilities of feasible damage for each probability of damage; and determining the mean and variance of probability of feasible damage based on the set of probabilities of feasible damage. A system and apparatus for performing the method is also disclosed. | 02-04-2010 |

20130346024 | METHOD FOR FORECASTING WORK-IN-PROCESS OUTPUT SCHEDULE AND COMPUTER PROGRAM PRODUCT THEREOF - A method for forecasting a WIP (work in process) output schedule and a computer program product thereof are provided. A plurality of sets of historical WIP data regarding a product generated in respective historical periods are first collected, in which the product has a maximum historical production cycle. Thereafter, a predetermined time is used to divide the maximum historical production cycle into intervals. Then, the quantities of historical WIPs appearing in the respective intervals are computed in accordance with output times of the historical WIPs recorded in each of the sets of historical WIP data, thereby obtaining output probability density data series. If the number of the historical periods is greater than or equal to a minimum model-building number, a predicted output probability density data series of a next period following the historical periods is conjectured by using the output probability density data series in accordance with a prediction algorithm. | 12-26-2013 |

20140195195 | OBJECT INVESTIGATION AND CLASSIFICATION - An object investigation and classification system may include an object test system, a data storage system, and a data processing system. The object test system may receive a command to perform at least one action with a test object, perform the at least one action with the test object, and return test information indicative of at least one percept resulting from the at least one action. The data storage system may contain an experience database containing data indicative of multiple classifications and, for each classification, at least one action that was performed with at least one previously-observed reference object having this classification, and at least one percept value that is based in whole or in part on the test information resulting from the at least one action. The data processing system may: a) for each of multiple different classifications, compute or receive an initial prior probability that a test object falls within the classification; b) determine at least one action that should be performed with the test object to obtain at least one percept about the test object that is likely to enable the classification of the test object to be more accurately determined based on the initial prior probabilities and the data within the experience database; c) cause the object test system to perform the at least one action with the test object; d) receive test information from the object test system indicative of at least one percept resulting from the at least one action with the test object; e) compute at least one percept value; f) for each of multiple different classifications, determine a posterior probability that the test object falls within the classification based on the initial prior probability, the at least one percept value, and data within the experience database; g) determine whether any of the posterior probabilities meets or exceeds a threshold; h) if none of the posterior probabilities meet or exceed the threshold, repeat b) through i), substituting the posterior probabilities determined in f) for the initial prior probabilities in b); and/or i) when one or more of the posterior probabilities meets or exceeds the threshold, output information indicative of one or more of the classifications that correspond to the one or more posterior probabilities that meets or exceeds the threshold. | 07-10-2014 |

20130332111 | GENERATING INFORMATION CONDITIONAL ON MAPPED MEASUREMENTS - Processing a measurement includes receiving a first set of at least one measurement. The first set of at least one measurement is processed to generate conditional information corresponding to the first set of at least one measurement. The processing includes: generating a plurality of possible samples, each possible sample representing a sample from a prior probability distribution, mapping at least each measurement in the first set, and each possible sample, according to a nonlinear mapping procedure, into corresponding vectors in a target space, and generating the conditional information according to an error probability density function that is based at least in part on differences between the mapped vectors in the target space. | 12-12-2013 |

20130332112 | STATE ESTIMATION DEVICE - Disclosed is a state estimation device capable of estimating the state of an observation target with high accuracy. A state estimation device performs Kalman filter update processing for applying measured data of a target vehicle by a LIDAR to a state estimation model so as to estimate the state of a vehicle near the host vehicle. The state estimation device changes the state estimation model for use in the Kalman filter update processing on the basis of the positional relationship with the target vehicle or the state of the target vehicle. | 12-12-2013 |

20130325403 | METHOD FOR CALCULATING CONSUMPTION AND/OR A REMAINING RANGE OF A MOTOR VEHICLE AND MOTOR VEHICLE - A method calculates a remaining range and/or consumption of a motor vehicle with an energy storage system for a drive which acts on at least one wheel of the motor vehicle. The remaining range and/or the consumption can be calculated in a first fashion by using a first algorithm and in a second fashion by using a second algorithm. The second fashion requires a higher degree of expenditure on calculation than the first fashion. Switching over between the first fashion and the second fashion occurs as a function of the energy stored in the energy storage system. | 12-05-2013 |

20130325401 | ADAPTIVE WEIGHTED STOCHASTIC GRADIENT DESCENT - A system and method for solving an optimization problem are disclosed which are based on adaptive weighted stochastic gradient descent. The method includes receiving data to be sampled in optimizing an integral of a second function and, for a number of iterations, sampling the data according to a modified distribution function which depends on at least one parameter, updating at least one parameter of the second function, and updating at least one parameter of the modified distribution function. In a subsequent one of the iterations, the modified distribution function used in sampling the data is based on the updated at least one parameter of the distribution function. Information is output, which can be based on the integral function with the at least one updated parameter. | 12-05-2013 |

20130325402 | METHOD AND SYSTEM FOR THE INSTALLATION OF FAULT CIRCUIT INDICATORS ON AN ELECTRICAL FEEDER - A method for maximizing the benefits of Fault Circuit Indicators on an electrical feeder has two steps. In the first step a data set for the feeder is obtained based on historical data. In the second step, the number of FCIs and their location is calculated based on the data set obtained in the first step. The number of FCIs and their location is determined utilizing a simulation algorithm that ensures each FCI is used efficiently and provides actionable information to the utility's crew. | 12-05-2013 |

20110137612 | METHODS AND SYSTEMS FOR ESTIMATING LONGITUDINAL RELAXATION TIMES IN MRI - A method and a system for estimating a longitudinal relaxation time in magnetic resonance imaging. The method includes scanning at least one object to form a sequence of data with a plurality of flip angles; regressing linearly the formed sequence of data based on a first signal intensity model associated with the flip angles to obtain an initial estimation for said longitudinal relaxation time; and regressing nonlinearly the formed sequence of data based on a second signal intensity model associated with the flip angles so as to obtain a final estimation for the longitudinal relaxation time, in which the initial estimation is used as an initial guess for the longitudinal relaxation time based on the second signal intensity model. | 06-09-2011 |

20130311137 | TARGET DETECTION SIGNAL PROCESSOR BASED ON A LINEAR LOG LIKELIHOOD RATIO ALGORITHM USING A CONTINUUM FUSION METHODOLOGY - A method including collecting physical measurement data from a sensor. The physical measurement data is converted to radiance data. The radiance data includes a plurality of radiance data points. A detection score is generated by processing the radiance data using a discriminant function. The detection score includes a plurality of detection score points corresponding to the plurality of radiance data points. The discriminant function is derived by a fusion technique using a linear log likelihood ratio principle. A detection map is generated by applying a threshold to the detection score. The detection map includes a plurality of detection map points corresponding to the plurality of radiance data points, each detection map point of the plurality of detection map points includes one of a target-indicating value and a clutter-indicating value. A presence or an absence of a target is determined from the detection map. | 11-21-2013 |

20110106495 | Methods for Altering One or More Parameters of a Measurement System - Methods for altering one or more parameters of a measurement system are provided. One method includes analyzing a sample using the system to generate values from classification channels of the system for a population of particles in the sample. The method also includes identifying a region in a classification space in which the values for the populations are located. In addition, the method includes determining an optimized classification region for the population using one or more properties of the region. The optimized classification region contains a predetermined percentage of the values for the population. The optimized classification region is used for classification of particles in additional samples. | 05-05-2011 |

20140278238 | SPECTROMETER FOR PERSONAL CONTEXT - A method of performing context inference is described. The method includes collecting ambient light at a spectrometer sensor integrated in a portable device, characterizing the collected light to obtain optical information, comparing the optical information to optical data predetermined to match one or more contexts, inferring at least one characteristic of a specific context based on the comparison, and determining a probability that the portable device is in the specific context. | 09-18-2014 |

20100161276 | System and Methods for Parametric Test Time Reduction - 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 comparison of the estimated maximum test range and the known pass value range. | 06-24-2010 |

20100114527 | PROBABILISTIC METHODS AND APPARATUS TO DETERMINE THE STATE OF A MEDIA DEVICE - 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. | 05-06-2010 |

20100106457 | DETERMINISTIC COMPONENT MODEL JUDGING APPARATUS, JUDGING METHOD, PROGRAM, RECORDING MEDIUM, TEST SYSTEM AND ELECTRONIC DEVICE - 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 to be the type of deterministic component corresponding to a theoretical value closest to the measured value, from among the theoretical values for the plurality of types of deterministic components. | 04-29-2010 |

20140067322 | SYSTEM AND METHOD FOR DETERMINING A PROBABILITY OF WELL SUCCESS USING STOCHASTIC INVERSION - A system and a computer implemented method for determining a best well location from a plurality of possible well locations are described herein. The method includes drawing a plurality of earth models from a posterior distribution, wherein the posterior distribution is generated by stochastic inversion of existing data; calculating a well production at a plurality of proposed well locations within an earth model in the plurality of earth models using a relationship between the well production and earth parameters; calculating from the plurality of earth models, cost distributions using the relationship between well cost and the earth parameters; and calculating probability weighted values for the proposed well locations using probabilities from location dependent stochastic inversions as weights. | 03-06-2014 |

20130245999 | SPIN TORQUE TRANSFER MAGNETIC TUNNEL JUNCTION INTELLIGENT SENSING - Sensor circuitry including probabilistic switching devices, such as spin-transfer torque magnetic tunnel junctions (STT-MTJs), is configured to perform ultra-low power analog to digital conversion and compressive sensing. The analog to digital conversion and compressive sensing processes are performed simultaneously and in a manner that is native to the devices due to their probabilistic switching characteristics. | 09-19-2013 |

20100076726 | Sensor Registration by Global Optimization Procedures - Disclosed are method and apparatus for registering multiple sensors collecting data from multiple objects. Sensor registration is decomposed into a two-step procedure. The first step corrects systematic errors. The second step assigns objects measured by one sensor to objects measured by a second sensor. Systematic errors are corrected by generating the global minimum of a systematic error function. One embodiment for generating the global minimum uses a Continuous Greedy Randomized Adaptive Search Procedure. | 03-25-2010 |

20140358478 | MULTIVARIATE YIELD CALCULATOR FOR WAFER INTEGRATED CIRCUIT FABRICATION AND METHOD OF USE THEREOF - A multivariate yield calculator for wafer integrated circuit (IC) fabrication and a method of generating a multivariate yield forecast using the multivariate yield calculator. One embodiment of the multivariate yield calculator includes: (1) a Gaussian computer configured to compute a mean vector and a covariance matrix from multivariate performance characterizations having a multivariate distribution over a plurality of wafer ICs, and (2) an integrator configured to integrate a probability distribution function (PDF) based on the mean vector and the covariance matrix over a multivariate performance bin, thereby generating a multivariate yield forecast. | 12-04-2014 |

20090319227 | ADAPTIVE TRAITOR TRACING - One embodiment of the present invention includes a method for traitor tracing that selects a probability distribution for the assignment of file-segment variations in a digital file. This probability distribution is selected to improve traceability for a particular size of a coalition of attackers. At least one symbol for each file-segment variation is then distributed based on the selected probability distribution. | 12-24-2009 |

20130066592 | METHOD AND SYSTEM FOR EVALUATING THE RESEMBLANCE OF A QUERY OBJECT TO REFERENCE OBJECTS - A method and a system for evaluating the class of a test datum in a data space of dimension D where D≧3, each datum belonging to at least one class grouping together several data, comprising: projecting a suite of reference data of the data space into a space of dimension Q where Q | 03-14-2013 |

20140309967 | Method for Source Identification from Sparsely Sampled Signatures - The present invention relates to the method to identify the source of a signature signal by processing sparse digital data collected by a sensor system in a laboratory, field, or other application. The invention specifically addresses weak, obscured, or partially sampled signatures collected by a sensor system. The method takes advantage of all sources of data using an innovative method that uses Bayes Theorem for performing probability arithmetic and statistical inference. The method requires an exclusive and exhaustive library of candidate signatures. The method finds the most likely signature candidate from the library that has the highest likelihood of being responsible for the measured signal. In addition, the method can work with mixtures of library candidates to find the most likely mixture that explain the data. The method is applicable to a variety of sensor systems that collect and digitize data as signal strength (ordinate) versus measurement attribute (abscissa). | 10-16-2014 |

20100211357 | METHOD FOR MUTLI-STAGE SPATIAL SAMPLING WITH MULTIPLE CRITERIA - 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. | 08-19-2010 |

20130103348 | METHODS AND APPARATUSES FOR CONTROLLING INVOCATION OF A SENSOR - Methods and apparatuses are provided for controlling invocation of a sensor. A method may include accessing a context probability model generated based at least in part on historical context data. The method may further include using the context probability model to determine a probability that a context indicated by an output of a sensor will differ from a context indicated by a previous output of the sensor. The determination may be made based at least in part on observed context information. The method may additionally include controlling invocation of the sensor based at least in part on the determined probability. Corresponding apparatuses are also provided. | 04-25-2013 |

20100063774 | SYSTEMS AND METHODS FOR ADAPTIVE SMART ENVIRONMENT AUTOMATION - Several embodiments of systems and methods for adaptive smart environment automation are described herein. In one embodiment, a computer implemented method includes determining a plurality of sequence patterns of data points in a set of input data corresponding to a plurality of sensors in a space. The input data include a plurality of data points corresponding to each of the sensors, and the sequence patterns are at least partially discontinuous. The method also includes generating a plurality of statistical models based on the plurality of sequence patterns, and the individual statistical models corresponding to an activity of a user. The method further includes recognizing the activity of the user based on the statistical models and additional input data from the sensors. | 03-11-2010 |

20110161048 | Method to Optimize Prediction of Threshold Violations Using Baselines - A baseline technique allows reducing the number of threshold violation predictions that need to be generated in a performance monitoring system. One or more baselines may be calculated based on long-term trends in a monitored metric. If the metric is within the baseline, then predictions regarding short-term trends in the metric may be omitted. If the metric is outside the baseline, then short-term trends may be analyzed to predict possible threshold violations. | 06-30-2011 |

20100030520 | System for Real-Time Object Detection and Interception - A system for determining a probability of interception by an interceptor of an object to be intercepted is disclosed herein. The system includes means for propagating a kinematic state of the object to be intercepted; means for determining a plurality of probabilities of intercept; means for determining whether an intercept is feasible and creating a set of probabilities of successful intercept for each probability of intercept; and means for determining the mean and variance of probability of successful intercept based on the set of probabilities of successful intercept. | 02-04-2010 |

20100114526 | FREQUENCY ESTIMATION OF RARE EVENTS BY ADAPTIVE THRESHOLDING - 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. | 05-06-2010 |

20100153066 | System and Methods for Monitoring a Thermoelectric Heating and Cooling Device - The present invention pertains to methods for monitoring a thermoelectric heating and cooling device ( | 06-17-2010 |

20110246137 | SOURCE LOCALIZATION USING MULTIPLE UNITS OF A TIGHT-PITCHED DETECTOR ARRAY - A system and method for determining a probability of the location of an illicit radiation source within an environment based on directional detectors. An embodiment includes a plurality of directional radiation detectors distributed about the environment and integrated with a processing unit adapted to determine the probability of the source location based on the radiation count data received from the plurality of detectors. The processing unit is further adapted to output information indicative of the location of the radiation source within the environment. | 10-06-2011 |

20140214363 | FAULT FREQUENCY SET DETECTION SYSTEM AND METHOD - Systems and methods are provided for monitoring operating machinery to identify fault frequency sets for consumable components used in the machinery. Data associated with characteristic behavior of the machinery being monitored is acquired and analyzed, comparing known vendor information regarding fault frequencies for specified components to vibration frequencies observed in the machine in service. The systems and methods described herein enable an operator to identify and confirm critical information such as the location of and/or vendor identity for components exhibiting fault vibration behavior. | 07-31-2014 |

20130179121 | CALCULATING APPARATUS, MEASURING APPARATUS, ELECTRONIC DEVICE, PROGRAM, RECORDING MEDIUM AND CALCULATING METHOD - A calculating apparatus for calculating a probability density function representing a probability density of a pre-set random variable, from a cumulative probability distribution function representing a cumulative probability distribution of the random variable, includes: a probability density function calculating section that calculates the probability density of each value of the random variable of the probability density function, based only on a value of the cumulative probability distribution function corresponding to the value of the random variable, from among values of the cumulative probability distribution function corresponding to values of the random variable. | 07-11-2013 |

20140330536 | TECHNIQUES TO SIMULATE STATISTICAL TESTS - Techniques to simulate statistical tests are described. An apparatus may comprise a simulated data component to generate simulated data for a statistical test, where statistics of the statistical test are based on parameter vectors to follow a probability distribution, a statistic simulator component to generate statistics for the parameter vectors from the simulated data, each parameter vector represented with a single point in a grid of points, the statistic simulation component to distribute portions of the simulated data or simulated statistics across multiple nodes of a distributed computing system in accordance with a column-wise or column-wise-by-group distribution algorithm, and a code generator component to create a computational representation arranged to generate an approximate probability distribution for each point in the grid of points from the simulated statistics, the approximate probability distribution to comprise an empirical cumulative distribution function (CDF). Other embodiments are described and claimed. | 11-06-2014 |

20140257750 | SYSTEM AND METHOD FOR ESTIMATING UNCERTAINTY FOR GEOPHYSICAL GRIDDING ROUTINES LACKING INHERENT UNCERTAINTY ESTIMATION - System and method for improving the accuracy of a numerical model by estimating uncertainty for gridding algorithms. An extra uncertainty term is added to the zeroth-order CUBE uncertainty estimator to compute uncertainty which can be provided to a numerical model. The system and method can estimate the uncertainty for any spatial data, for example, but not limited to, bathymetry data. | 09-11-2014 |

20120259584 | Method for Optimizing Parameters for Detection Systems - 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. | 10-11-2012 |

20100094591 | Forecasting Outcomes Based on Analysis of Text Strings - 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. | 04-15-2010 |

20140303933 | OPTIMIZING ANALYTIC FLOWS - A technique of optimizing analytic flows includes sampling source data using a sampling method, executing a flow over the sampled data, obtaining runtime statistics from the executed flow, and combining runtime statistics with historical statistics. | 10-09-2014 |

20140222375 | CONDITION-BASED MANAGEMENT OF POWER TRANSFORMERS - Methods and arrangements for managing implementation of a power transformer. There is determined at least one parameter currently relating to operation of a transformer, as well as a revenue value currently assigned to the transformer. There is determined a depreciation value currently assigned to the transformer. There is determined a power output for the transformer for a future time slot that increases total revenue with respect to a life cycle of the transformer, the power output being determined based on the at least one parameter, the revenue value, and the depreciation value. | 08-07-2014 |

20100023300 | SENSOR BASED MONITORING OF SOCIAL NETWORKS - A method and system for detecting and monitoring discrete interactions within a physical social network is provided. The system and method detects attributes associated with human communication activities and distinguishes them from other concurrently detected activities in order to identify discrete interactions that are in turn transmitted across a network having a limited data rate. Generally, in its simplest form a plurality of wireless sensors are deployed across a cross-section of people of interest. Once deployed, the wireless sensors establish an ad-hoc network that transmits a small amount of data relating to the each of the discrete individuals bearing a sensor. The collected data is analyzed through the application of rules set forth in a Bayesian belief network to make a determination regarding the probability that an actual interaction between two individuals bearing sensors in fact occurred. | 01-28-2010 |

20100121608 | METHOD AND APPARATUS FOR SETTING A DETECTION THRESHOLD GIVEN A DESIRED FALSE PROBABILITY - 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. | 05-13-2010 |

20130317780 | PROBABILITY OF FAILURE ON DEMAND CALCULATION USING FAULT TREE APPROACH FOR SAFETY INTEGRITY LEVEL ANALYSIS - A computer-readable medium including computer-executable instructions that, when executed by a processor, cause the processor to perform acts, via an associated method that includes selecting a fault tree based upon an architecture of a safety instrumented system. The method includes evaluating at least a failure probability due to dangerous detected failures and a failure probability due to dangerous undetected failures as a function of values of factors. A portion of the failure probability due to dangerous undetected failures is based on failures detected during proof testing and a remainder of the failure probability due to dangerous undetected failures is based on failures detected during refurbishment. The method includes generating a probability of failure on demand for the safety instrumented system by combining at least the failure probability due to dangerous detected failures and the failure probability due to dangerous undetected failures according to the fault tree. | 11-28-2013 |

20090306933 | Sampling Sufficiency Testing - Sampling sufficiency determinations are performed using probability calculations and statistical analysis during a testing process of a population of items. For example, an auditing or reviewing process may involve testing a predetermined sample set of items from the population in order to draw statistical conclusions about the passing or failing rate of the population as a whole. During an ongoing testing process, probability calculations and statistical analyses may be performed regarding the likelihood of the population to pass or fail according to an acceptable failure rate, based on the test results of a subset of the sample set. The sampling sufficiency analyses may potentially allow determinations that the testing process may be stopped before the complete testing of the sample set, and that the population may be declared a passing or failing population within a desired level of confidence. | 12-10-2009 |

20140005981 | METHOD FOR STATISTICAL QUALITY ASSURANCE IN AN EXAMINATION OF STEEL PRODUCTS WITHIN A STEEL CLASS | 01-02-2014 |

20130085716 | Methods for estimating location using signal with varying signal speed - Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements. | 04-04-2013 |

20100106458 | COMPUTER PROGRAM AND METHOD FOR DETECTING AND PREDICTING VALVE FAILURE IN A RECIPROCATING COMPRESSOR - 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. | 04-29-2010 |

20130006580 | GENERATING AN INDICATION OF A PROBABILITY OF A HYPOTHESIS BEING CORRECT BASED ON A SET OF OBSERVATIONS - A method of generating an indication of a probability of a hypothesis being correct based on a set of observations includes obtaining data representing first and second sets of observations. Data representing a set of hypotheses at least partially derivable from the first and the second set of observations can also be obtained. Plural data associations can be generated between at least some data in the first and second sets to indicate a probability of at least some of the generated data associations being correct. The data representing the set of hypotheses and the indication of the probability of at least some of the generated data associations being correct can be used to generate an indication of a probability of at least one of the hypotheses represented by the data being correct. | 01-03-2013 |

20100070238 | Multiple sensor fusion engine - A method and system for of fusing the outputs of multiple sensors. The output of each sensor including a sensor class probability vector based on each sensor's classification database is input to a fusion engine which estimates a base class probability vector based on the sensor class probabilities output by the sensors and a preconfigured base database including base classes. | 03-18-2010 |

20140278239 | APPROXIMATE MULTIVARIATE POSTERIOR PROBABILITY DISTRIBUTIONS FROM SIMULATED SAMPLES - Various embodiments are directed to techniques for deriving a sample representation from a random sample. A computer-program product includes instructions to cause a first computing device to fit an empirical distribution function to a marginal probability distribution of a variable within a first sample portion of a random sample to derive a partial marginal probability distribution approximation, wherein the random sample is divided into multiple sample portions distributed among multiple computing devices; fit a first portion of a copula function to a multivariate probability distribution of the first sample portion, wherein the copula function is divided into multiple portions; and transmit an indication of a first likelihood contribution of the first sample portion to a coordinating device to cause a second computing device to fit a second portion of the copula function to a multivariate probability distribution of a second sample portion. Other embodiments are described and claimed. | 09-18-2014 |

20130080115 | OPERATING REFRIGERATION SYSTEMS - Operating refrigeration systems is described herein. One method includes receiving operating information associated with a refrigeration system, and determining a probability of liquid slugging occurring in the refrigeration system before liquid slugging occurs in the refrigeration system based, at least in part, on the operating information. | 03-28-2013 |

20090259436 | METHODS AND APPARATUS TO DETERMINE BOARD EXPOSURE LEVELS - Methods and apparatus to determine board exposure levels are disclosed herein. In a disclosed example method, exposure levels associated with a plurality of media boards are obtained and a plurality of probability distributions indicative of probable exposure levels for the plurality of media boards are determined. The example method also involves selecting one of the plurality of probability distributions corresponding to an expected distribution and smoothing the selected probability distribution. Each of the plurality of media boards is then credited with a respective processed exposure level of the smoothed probability distribution. | 10-15-2009 |

20140019090 | SYSTEMS, METHODS, AND LOGIC FOR GENERATING STATISTICAL RESEARCH INFORMATION - In one embodiment, a system for generating a statistical analysis output is disclosed. The system receives and processes input from a user to perform statistical analysis and generate an output. The input includes at least one statistical variable from a plurality of statistical variables in a dataset, statistical modules adopted for analysis, and output formats. The system includes a processing unit configured to: automatically identify statistical variables in the dataset; automatically generate a program code for obtaining a variable distribution; select at least one statistical variable for statistical analysis; select one or more of the at least one statistical variable and automatically generate programs that implement the statistical functions for manipulating the variables; automatically perform statistical analysis based on the statistical modules by executing program codes associated with the modules; and automatically generate a program code for organizing outcomes of the statistical analysis into the user selected output formats. | 01-16-2014 |

20130096877 | REJECTION SAMPLING OF A COMPLEX DISTRIBUTION INCLUDING BOUND AND PROPOSAL DISTRIBUTION REFINEMENT - Iterative rejection sampling is performed on a domain in accordance with a target distribution. The domain is partitioned to define a partition comprising partition elements, and each iteration of the rejection sampling includes selecting a partition element from the partition in accordance with partition element selection probabilities. A sample of the domain is acquired in the selected partition element according to a normalized proposal distribution that is associated with and normalized over the selected partition element. The acquired sample is accepted or rejected based on the target distribution and a bound associated with the selected partition element. During the iterative rejection sampling, the partition is adapted by replacing a partition element of the partition with two or more split partition elements, associating bounds with the split partition elements, and computing partition element selection probabilities for the split partition elements. | 04-18-2013 |

20110098974 | ADAPTIVE DIFFERENTIAL RATIO-METRIC DETECTOR - A method and system for detecting and classifying sensor data, includes obtaining at least one feature vector from a sample to be analyzed, the sample to be analyzed being applied to an array of sensors that includes at least two differential sensors. The method and system also includes converting the at least one feature vector to at least one ratio-metric feature vector. The method and system further includes comparing the at least one ratio-metric feature vector to a detection threshold, and outputting an alarm to denote that the sample is abnormal when the detection threshold is exceeded. When the at least one ratio-metric feature vector does not exceed the detection threshold, the method and system includes classifying the sample as normal and feeding back the at least one ratio-metric feature vector to recompute the detection threshold for future samples to be detected and classified. | 04-28-2011 |

20130096878 | STATE INFERENCE IN A HETEROGENEOUS SYSTEM - The invention relates to inferring the state of a system of interest having a plurality of indicator values and possibly being heterogeneous in nature. A number of indicator values from a control state and from a comparison state are gathered. From these indicator values, classification power between the control and comparison states (measure of goodness) is computed. Difference values are computed for the indicator values from the system of interest based on the difference to the indicator values from control and comparison states. From a number of these indicators, composite indicators are formed, and composite measures of goodness and composite difference values are computed. A plurality of composite indicators may be formed at different levels. These indicators may be represented as a tree and grouped according to content, and at the same time they may be arranged according to the measure of goodness or some other value. The indicators, measures of goodness, and difference values may be visualized and shown to a user, who may use such a representation for inferring the state of the system. | 04-18-2013 |

20140200849 | DIVERSITY LOOP DETECTOR WITH COMPONENT DETECTOR SWITCHING - Aspects of the disclosure pertain to a system and method for providing component detector switching for a diversity loop detector. Switching between component detectors is performed via one of: a periodic state likelihood reset process, a slope-based switching process, or a cross-over connection process. The joint decision circuit switches among component detectors to promote improved performance with present of constant or transition phase offset. | 07-17-2014 |

20150293885 | METHOD FOR CENTRAL STATISTICAL MONITORING OF DATA COLLECTED OVER A PLURALITY OF DISTRIBUTED DATA COLLECTION CENTERS - A method for central monitoring of a research includes the steps of creating and storing a database consisting of datasets generated during the research, preprocessing the database to remove variables that are unsuitable for analysis, extracting metadata from the database to identify types of the variables, storing the preprocessed datasets and corresponding metadata in a statistical database, executing statistical tests on a data collection center by data collection center basis to detect abnormalities and patterns present in datasets, creating and storing a matrix containing p-values based upon the executed statistical tests, identifying any outlying data collection centers by summarizing the p-values, determining if any of the executed statistical tests are faulty and removing such faulty executed statistical tests from the matrix to create a filtered matrix, and computing an overall p-value score. | 10-15-2015 |

20120065934 | Member fatigue fracture probability estimating apparatus, member fatigue fracture probability estimating method, and computer readable medium - An effective volume V | 03-15-2012 |

20140142894 | METHODS FOR PROCESSING SEQUENTIAL DATA TO IDENTIFY POSSIBLE PEAK POINTS AND TO ESTIMATE PEAK TO NOISE RATIO OF SEQUENTIAL DATA - A method implemented through an electronic system for processing a sequential data to identify possible peak points is disclosed. The method defines a decayed threshold function and partition the sequential data into a plurality of segments by grouping each data point with surrounding data points into one of the segments. After that, a plurality of weighted segments are derived through weighting the surrounding data points by the decayed threshold function in each of the segments, and the peak points are identified through corresponding weighted segment. | 05-22-2014 |

20120072174 | Product Discriminating Device, Product Discriminating Method, and Computer Program - A product discriminating device that includes a measuring section, a discriminating unit, a deemed standard deviation calculation unit, a re-discriminating unit, a rank estimated number calculation unit, and a standard deviation calculation unit. The standard deviation calculation unit changes variables of a probability distribution of a deemed standard deviation such that the number of products belonging to at least one of a predetermined plurality of ranks re-discriminated at least once and an estimated number of the products belonging to the rank in a rank estimated number calculation unit substantially match each other, and calculates the changed variables as a standard deviation of characteristic value variation of the products and a standard deviation of measurement value variation. | 03-22-2012 |

20130262032 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device includes a main sensor that is a sensor that is operated in at least two operation levels and acquires predetermined data, a sub sensor that is a sensor that acquires data different from that of the main sensor, and an information amount calculation unit that predicts the difference between an information amount when measurement is performed by the main sensor and an information amount when measurement is not performed by the main sensor from data obtained by the sub sensor and decides the operation level of the main sensor based on the prediction result. | 10-03-2013 |

20150295415 | IDENTIFYING OPERABILITY FAILURE IN DR ASSETS - The present invention demonstrates a highly distributed demand response optimization and management system for real-time (DROMS-RT) power flow control to support large scale integration of distributed renewable generation into the grid. The system is a cloud-based platform that reduces critical peak power safely and securely. The arrangement is provided with a control and communications platform to allow highly dispatchable demand response (DR) services in timeframes suitable for providing ancillary services to the transmission grid. The services are substantially more efficient than other forms of ancillary service options currently available to manage the intermittency associated with large-scale renewable integration. | 10-15-2015 |

20130151198 | METHOD AND SYSTEM FOR DETERMINATION OF DETECTION PROBABILITY OF A TARGET OBJECT BASED ON A RANGE - A simulation system for predicting a likelihood of whether a target object positioned in an environment will be detected by a detection system when illuminated by a laser source. The simulation system may be used for a laser rangefinder application and a laser designator application. The simulation system may provide a detection probability of the target object at a specified range to the detection system or a plurality of detection probabilities as a function of the range to the detection system. The simulation system may provide an indication of an overlap of the beam provided by the laser source on the target object. The simulation system may determine the effect of vibration on the detection of the target object at a specified range. | 06-13-2013 |

20120143565 | SYSTEM AND METHOD FOR PREDICTING WIND TURBINE COMPONENT FAILURES - Methods and systems for use in predicting wind turbine failures are provided. One example method includes determining a parametric profile for a component of a wind turbine from operating data of a plurality of wind turbines, determining an anomaly profile for the component of the wind turbine from anomaly alerts from a plurality of wind turbines, and determining a probability of failure for the component of the wind turbine based on the parametric profile and the anomaly profile. The parametric profile defines at least one parametric event associated with the component prior to failure of the component, and the anomaly profile defines at least one anomaly associated with the component prior to failure of the component. | 06-07-2012 |

20120010853 | SENSOR BIAS ESTIMATION FOR MULTIPLE HYPOTHESIS TRACKER - A method for measuring sensor bias and a method for estimating sensor bias is provided. Road location data is obtained. Sensor observation data is obtained. A sensor observation is identified that corresponds to an on-road target moving on a known road. A measurement of one-dimensional sensor bias is formed. As one-dimensional sensor bias measurements accumulate, multi-dimensional sensor bias is estimated. Sensor bias estimates may then be incorporated into a multiple hypothesis tracker system. | 01-12-2012 |

20130103347 | PLASMA EQUIPMENT AND METHODS OF USING THE SAME - Plasma equipments are provided. The plasma equipment comprises a chamber in which a plasma reaction occurs, a detector outputting a spectrum signal in response to light generated from the plasma reaction, and a plasma monitoring module determining whether the spectrum signal includes an arcing signal or a hunting signal. Related methods are also provided. | 04-25-2013 |

20120065933 | MAINTENANCE SYSTEM AND MAINTENANCE METHOD - According to one embodiment, a measurement unit periodically measures a usage status of a measurement target, and measures each test item of the measurement target at an arbitrary timing according to a test schedule. A first storage unit stores the usage status and a test result in time series. A second storage unit stores statistic information representing a relationship between the usage status and the test result. A probability calculation unit calculates a first evaluation value representing a load of the measurement target at a recent timing and a second evaluation value representing a load of the measurement target at the arbitrary timing, based on the usage status, and calculates a specific probability of each test item, based on the statistic information, the first evaluation value and the second evaluation value. A test schedule creation unit creates a new test schedule having selected test items, based on the specific probability. | 03-15-2012 |

20130246000 | METHOD OF POWER SYSTEM PREVENTIVE CONTROL CANDIDATE MEASURES IDENTIFICATION SELF-ADAPTIVE TO EXTERNAL ENVIRONMENT - A method of power system preventive control candidate measures identification self-adaptive to external environment, which is applicable to dynamic identification of stations and power equipment under the effect of calamity, and judgment of preventive control measures that lose or restore control capability, and those for which control range or cost has changed. Automatic online identification of set of preventive control candidate measures includes two tasks: identification of stations and power equipment under the effect of calamity, and adjustment of the space of preventive control measures. According to information of power transmission line fault probability due to calamity, online dynamic quantitative assessment of stations and equipment is performed under the effect of external environment, and automatically correct control range and control cost of the measures according to the effect on equipment, so that the result of preventive control adapts to real-time external environment, ensuring feasibility and economy of auxiliary decision making. | 09-19-2013 |

20120072173 | SYSTEM AND METHOD FOR MODELING CONDITIONAL DEPENDENCE FOR ANOMALY DETECTION IN MACHINE CONDITION MONITORING - A method for predicting sensor output values of a machine sensor monitoring system includes providing a set of input sensor data X and a set of output sensor data Y for a plurality of sensors the monitor the performance of a machine, learning a functional relationship that maps the input sensor data to the output sensor data by maximizing a logarithm of a marginalized conditional probability function P(Y|X) where a dependence of the output sensor data Y with respect to unknown hidden machine inputs u has been marginalized, providing another set of input sensor data X′, and calculating expected values of the output sensor data Y′ using the input sensor data X′ and the marginalized conditional probability function P(Y|X′), where the calculated expectation values reflect the dependence of the output sensor data Y″ with respect to the unknown hidden machine inputs u. | 03-22-2012 |

20150317282 | SKETCHING STRUCTURED MATRICES IN NONLINEAR REGRESSION PROBLEMS - A system, method and computer program product for quickly and approximately solving structured regression problems. In one aspect, the system, method and computer program product are applied to problems that arise naturally in various statistical modeling settings—when the design matrix is a Vandermonde matrix or a sequence of such matrices. Using the Vandermonde matrix structure further accelerates the solution of the regression problem, achieving running times that are faster than “input sparsity”. The modeling framework speedup benefits of randomized regression for solving structured regression problems. | 11-05-2015 |

20120004890 | METHOD FOR AUTOMATICALLY SHIFTING A BASE LINE - A method for automatically shifting the base line has the following steps. First step is inserting the PM data into the processing data and calculating the original mean value of each section. Depending on the absolute value of the difference between each data point and the first mean value of each section, the data points are ranked. Next step is selecting the data points in the 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 | 01-05-2012 |

20120004889 | Methods for Estimating Location Using Signal with Varying Signal Speed - Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements. | 01-05-2012 |

20150094983 | FEATURE EXTRACTION METHOD AND APPARATUS FOR USE IN CASUAL EFFECT ANALYSIS - A feature extraction method and apparatus for use in causal effect analysis, pertaining to data analysis, which includes: determining a feature time point for use in causal effect analysis on a resultant event; acquiring a predetermined number of time intervals according to the determined feature time point, where the predetermined number of time intervals are prior to the determined feature time point, and the interval length from the time interval to the determined feature time point is in positive correlation to the span of the time interval; and extracting features for use in causal effect analysis on the resultant event according to event information of potential causal events occurred in each of the time intervals. According to the present disclosure, considering the short-period and long-period potential causal event, the number of extracted features is controlled, thereby reducing the calculation workload, preventing overfitting, and improving the accuracy in causal effect analysis. | 04-02-2015 |

20140039831 | System for Reusing Triple Event Data in PET and Method, Program Product Thereof - The invention provides a system for reusing triple event data of PET. The system comprises an input unit, a determining unit, and an output unit. A plurality of data is generated by an object undergoing the PET scan, and the input unit is used to receive the data. The determining unit is used to determine the data and pick out data corresponding to triple event from the data and according to a formula to pick out data corresponding to coincident event from the data corresponding to triple event. In other words, the determining unit picks out data corresponding to true triple event from the data to reuse and analyze the data corresponding to coincident event and further to generate an analysis result. The output unit is used to output the analysis result. | 02-06-2014 |

20150142384 | DISCRIMINATIVE HIDDEN KALMAN FILTERS FOR CLASSIFICATION OF STREAMING SENSOR DATA IN CONDITION MONITORING - A method for monitoring a condition of a system or process includes acquiring sensor data from a plurality of sensors disposed within the system (S | 05-21-2015 |

20140336983 | Sensor System for Independently Evaluating the Integrity of the Data of the Sensor System - A sensor system, having sensor elements for sensing at least to some extent different primary measured variables or use different measurement principles. A signal processing device evaluates the sensor signals from the sensor elements at least to some extent collectively and rates the information quality of the sensor signals. The signal processing device further provides a piece of information about the consistency of at least one datum of a physical variable, wherein this datum of the physical variable is calculated, at least to some extent, on the basis of the sensor signals from sensor elements that sense this physical variable directly or from the sensor signals from which it is possible to calculate this physical variable. The information about the consistency of this datum of this physical variable is calculated at least on the basis of the directly or indirectly redundantly present sensor information. | 11-13-2014 |

20130132031 | Apparatus and Method for Automatically Generating a Deterministric Target Differential Equation System - An apparatus and method are provided for automatically generating a deterministic target differential equation system for evaluating an output differential equation system with stochastic input parameters with a device for providing a weighted sum of orthogonal basic functions inserted into the output differential equation system, which forms a stochastic random variable. A multiplication device for multiplying the output differential equation system by the orthogonal basic functions and an integration device for integrating the output differential equation system which is multiplied by the orthogonal basic functions to generate the deterministic target differential equation system are provided. A control device calculates stochastic output parameters based on the deterministic target differential equation system generated and accordingly controls a mechanical or electronic adjustment element. The apparatus may be suitable for use in a robust regulating and control circuit for regulating an installation, e.g., a chemical reaction installation, e.g., to minimize harmful exhaust gas substances. | 05-23-2013 |

20130132030 | SYSTEMS AND METHODS FOR ESTIMATION AND DISPLAY OF A FAILURE COPULA FOR A CONSUMABLE - Methods and systems of determining a failure copula for a consumable are disclosed. Multiple consumable levels for a consumable and multiple timestamps are received from a device. Each timestamp is associated with one of the consumable levels. The consumable levels are ordered into a time-ordered sequence based on the associated timestamps. For at least one consumable level in the time-ordered sequence, a computing device determines a value associated with the consumable level based on at least one earlier and at least one later consumable level in the time-ordered sequence. The computing device identifies historical consumable replacement(s) based on the values associated with the consumable levels in the time-ordered sequence and determines one or more consumable lifetimes and one or more consumable yields based on the historical consumable replacement(s). The computing device determines a failure copula based on the one or more consumable lifetimes and consumable yields. | 05-23-2013 |

20120226476 | APPARATUS, SYSTEM, AND METHOD FOR CALCULATING DEFECT RATE - According to one embodiment, a first reading unit reads, from a defect database, first identification information corresponding to a first product type. A second reading unit reads, from a monitoring database, defect monitoring information corresponding to the first identification information and non-defect monitoring information that corresponds to the first product'type and that is other than the defect monitoring information. A generating unit generates a defect, model that models a probability of products becoming defective within a predetermined time period with respect to the monitoring information, based on the defect monitoring information and the non-defect monitoring information. A first calculating unit calculates a defect probability of products of a second product type by inputting the monitoring information corresponding to the second product type into the defect model. A second calculating unit calculates a defect rate of the products of the second product type based on the defect probability. | 09-06-2012 |

20120290262 | METHOD AND APPARATUS FOR MONITORING PERFORMANCE AND ANTICIPATE FAILURES OF PLANT INSTRUMENTATION - A method of detecting an unhealthy/potentially/failing instrument using apparatus is carried out by measuring a characteristic of the output of an instrument. The measurement of the characteristic is compared to an expected distribution of the instrument when healthy. The probability of the instrument producing such a characteristic measurement, or a value further from the mean of the expected distribution, if it was healthy is calculated. The measured characteristic to an expected distribution of the instrument when unhealthy is compared, and the probability of the instrument producing such a characteristic measurement, or a value further from the mean of the expected distribution, if it was unhealthy is calculated. The probability of the measured characteristic being produced by the instrument when healthy and when unhealthy is compared. A confidence value indicative of the likelihood of the instrument being unhealthy is then produced. | 11-15-2012 |

20120239347 | FAILURE DIAGNOSIS SUPPORT TECHNIQUE - The disclosed method includes: calculating a first expected value of the number of failures for each combination of a feature that is a failure factor and a first group regarding classification elements of first semiconductor devices for which a failure is analyzed and second semiconductors on which a same circuit as the first semiconductors is implemented, from first data for each first group and a predetermined expression, wherein the first data includes the number of actual failures occurred in the first group and first feature values of features; and calculating, for each feature, a first indicator value representing similarity between a distribution of the first expected values over the first groups and a distribution of the numbers of actual failures over the first groups, from the first expected value for each combination of the feature and the first group and the number of actual failures for each first group. | 09-20-2012 |

20150302614 | SYNCHRONIZATION METHOD AND SYSTEM FOR SINGLE EVENT LIST TYPE DATA IN PET IMAGING - A method for synchronizing list-mode data of single events in a PET imaging includes: acquiring list-mode data of single events of each independent detection module, calculating a probability density of time intervals between occurrences of single events in detection module and setting initial parameters, determining detection starting time difference of each detection module with iterative peak searching and graded time window, and performing synchronization correction and coincidence discrimination on the single event data in each detection module based on the detection starting time difference. A system for synchronizing list-mode data of single events in a PET imaging includes: a data acquisition and frequency difference compensation module, an initial parameter setting module, a coarse time scale coincidence module, a fine time scale coincidence module and a data synchronization correction and coincidence discrimination module. | 10-22-2015 |

20120265488 | Systems and Methods for Reliability Assisted Noise Predictive Filtering - Various embodiments of the present invention provide systems and methods for data processing. As an example, a data processing circuit is disclosed that includes: a data detector circuit, a calibration circuit, and an enable circuit. The data detector circuit is operable to apply a data detection algorithm to a data input to yield a detected output based at least in part on control values. The calibration circuit operable to update the control values based at least in part on the data input, the detected output, and a calibration circuit enable. The calibration circuit enable is generated by the enable circuit based at least in part on the detected output. | 10-18-2012 |

20130138396 | SYSTEM AND METHOD FOR MONITORING AND MANAGING UTILITY DEVICES - A system and method for monitoring and managing utility devices is provided where performance data for each utility device is compared against performance criteria. A deficiency value is assigned to each utility device based on the comparison, and a composite deficiency surface is generated based on the deficiency values. The areas of the composite deficiency surface are classified into deficiency classes. A particular area on the composite deficiency surface associated with a particular deficiency class is identified, and a priority index for the identified area is determined based on the particular deficiency value. One or more of the identified areas of the composite deficiency surface are classified into one or more construction projects based on the priority index for the corresponding area, and at least one of the one or more construction projects is recommended to a user. | 05-30-2013 |

20130138395 | METHOD FOR DETECTING FALLS AND A FALL DETECTOR - A method for detecting a fall by a user is provided that comprises a method of detecting a fall by a user, the method comprising processing measurements obtained from one or more sensors to extract a respective value for a plurality of features associated with a fall; determining a respective log likelihood ratio for each of said values; and determining whether the user has fallen based on the determined log likelihood ratios. | 05-30-2013 |

20120278039 | Methods of Improving Detectors and Classifiers Using Optimized Stochastic Resonance Noise - Apparatus and method for improving the performance of a threshold-based detector or classifier, or a generic detector or classifier and increasing the probability of detecting at least one object in an image using novel algorithms and stochastic resonance noise is provided, where a suitable dose of noise is introduced to the image data such that the performance of the above-referenced detectors or classifiers is improved without altering the detector's or classifier's parameters. Several stochastic resonance (SR) noise-based detection and classification enhancement schemes are presented. The SR noise-enhanced detection and classification schemes can improve any algorithms and systems. To implement these schemes, the only knowledge that is needed is the original input data (no matter 1D, 2D, 3D or others) and the output (detection results) of the existing algorithms and systems. | 11-01-2012 |

20160062950 | SYSTEMS AND METHODS FOR ANOMALY DETECTION AND GUIDED ANALYSIS USING STRUCTURAL TIME-SERIES MODELS - Systems and methods for anomaly detection and guided analysis using structural time-series model. A server may receive a request from a client to analyze a time-series data comprising a plurality of data points. A database of global calendars may be accessed. A structural time-series model may be built from the time-series data and the database of global calendars, the structural time-series model comprising a hidden structure and a plurality of probability distributions, each probability distribution corresponding to a data point. For each data point of the time-series data, a range of expected values is determined from a respective probability distribution, the range of expected values capturing a predefined percentage of the respective probability distribution. An anomaly is detected at a first data point of the time-series data responsive to comparing the first data point with a respective range of expected values. The anomaly is transmitted to the client for display with the time-series data. | 03-03-2016 |

20120209567 | EXISTENT PERSON COUNT ESTIMATION APPARATUS - According to one embodiment, an existent person count estimation apparatus includes motion sensors and following units. The collection unit generates human sensing information. The instance prediction unit predicts second instances from the first instances by using the transition matrix. The likelihood calculation unit calculates likelihoods of the second instances using the time information items. The instance selection unit selects one or more third instances having likelihoods higher than a threshold. The output unit generates output information including estimate values of existent person counts for the first areas included in the third instances. | 08-16-2012 |

20120278038 | ESTIMATING MONTHLY HEATING OIL CONSUMPTION FROM FISCAL YEAR OIL CONSUMPTION DATA USING MULTIPLE REGRESSION AND HEATING DEGREE DAY DENSITY FUNCTION - Estimating monthly heating oil consumption of a building that uses heating oil and non-oil source of energy, may include separating by applying statistical models, yearly consumption of oil data associated with the building into base load oil consumption and space heating oil consumption. The separating may also include determining monthly base load oil consumption associated with the building. Monthly space heating consumption of oil may be estimated by applying a heating degree day density function to the space heating oil consumption. The monthly space heating consumption may be aggregated with the monthly base load oil consumption to estimate the monthly heating oil consumption. | 11-01-2012 |

20150317284 | SENSOR OUTPUT CHANGE DETECTION - A method includes acquiring a first data column output from a plurality of sensors, generating a model for estimating data from the plurality of sensors on the basis of the first data column, acquiring a second data column output from the plurality of sensors, obtaining an estimated data column corresponding to the second data column based on the model by using regularization for making an error between the second data column and the estimated data column sparse, and identifying a sensor in which a change occurred between the first data column and the second data column on the basis of the error between the second data column and the estimated data column. A corresponding computer program product and apparatus are also disclosed herein. | 11-05-2015 |

20140088919 | METHOD FOR DETERMINING WIRING RISK AND WIRING RISK DETERMINATION SYSTEM - A method for determining a wiring risk is a method for determining a first risk that electric wires connected to a plurality of terminal devices are bundled into a single harness, and a second risk that harnesses fail at the same time, wherein the first risk is determined by identifying the number of connectors to which a target harness identified from the plurality of harnesses is indirectly connected, and the second risk is determined by matching location information of the target harness to an influenced area by a hazard source, and identifying whether the target harness passes through the influenced area. | 03-27-2014 |

20160012014 | KEY CONTROL ASSESSMENT TOOL | 01-14-2016 |

20140172366 | Techniques for Encapsulating Metadata in Contextual Data Streams - A method for encapsulating metadata in a contextual data stream is described. The method may include receiving sensor data from a sensor. The method may include receiving metadata associated with the sensor data, wherein the metadata is defined as a probability vector based on a context set associated with the sensor data. The method may also include combining the sensor data and the metadata into a contextual data stream. | 06-19-2014 |

20140156224 | SINGLE-PROTEIN NANOMECHANICAL MASS SPECTROMETRY IN REAL TIME - 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. | 06-05-2014 |

20140122022 | PROCESSING TIME SERIES DATA FROM MULTIPLE SENSORS - Processing time sequence data for multiple sensors, wherein the multiple sensors are divided into multiple sensor groups and each data comprises a time stamp and a value associated with the timestamp. The method comprises: receiving time series data from each sensor; assigning the time series data received to a sensor group to which the sensor belongs; storing time series data in a first database of a first memory, such that multiple time series data assigned to the same sensor group in the multiple sensor groups are stored in at least one database record of the first database; obtaining the time series data of each sensor among the multiple sensors from the first database; storing time series data in a second database of a second memory, such that the multiple time series data from the same sensor are stored in at least one database record of the second database. | 05-01-2014 |

20140172365 | Location Change Detection Based on Ambient Sensor Data - A method for determining a location change based on contextual data is disclosed. The method may include gathering contextual data from ambient sensors of a device. The method may include determining a probability value that the device has changed location. The method may include comparing the probability value with a predetermined value. The method may include determining whether the location has changed based on the comparison of the probability value with the predetermined value. | 06-19-2014 |

20140046631 | METHOD FOR ADAPTIVE DATA ACQUISITION - Methods for adaptive data acquisition are disclosed herein. In one aspect, methods for adaptive data acquisition include performing a first sensing method on a signal having a plurality of components to determine the likelihood that a component is not a relevant signal component, retaining a portion of the signal components sensed using the first sensing method that are above a first threshold, performing a second sensing method on the signal components retained above a first threshold to determine the likelihood that a component is not a relevant signal component, wherein the second sensing method is more reliable than the first sensing method at determining the likelihood that a component is not a relevant signal component, and retaining a portion of the signal components sensed using the second sensing method that are above a second threshold. | 02-13-2014 |

20120173199 | Quantitative Comparison of Sample Populations Using Earth Mover's Distance - A method and apparatus for quantitatively measuring differences between portions of a multivariate, multi-dimensional sample distribution, may comprise summarizing the data by dividing the data into clusters each having a signature representative of a position of the cluster and a fraction of the entire distribution within the cluster; matching a plurality of first supplier signatures to a respective one of a plurality of second receiver signatures using a cost factor indicative of the separation between first signature elements and second signature elements; and determining a measurement of the work required to transform the first signature to the second signature. The step of determining a measurement of the work may comprise applying the earth mover distance (“EMD”) algorithm between the first signature or elements of the first signature and the respective second signatures or elements of the respective second signature. | 07-05-2012 |

20120245889 | Neighborhood Thresholding in Mixed Model Density Gating - The present invention provides automatic gating methods that are useful to gate populations of interest in multidimensional data, wherein the populations of interest are only a subset of the populations identifiable in the data. The populations are modeled as a finite mixture of multivariate probability distributions, preferably normal or t distributions. The distribution parameters that provide a best fit of the model distribution to the data are estimated using an Expectation Maximization (EM) algorithm that further includes a dynamic neighborhood thresholding that enables gating of a subset of the clusters present in the data. | 09-27-2012 |

20110251823 | SYSTEM TO ASSOCIATE A DEMOGRAPHIC TO A USER OF AN ELECTRONIC SYSTEM - A system and a related method are disclosed for association of a user of an electronic system with a demographic. Input behavioral data is captured related to measured interactions with at least one input device. The input data is compared to probability distribution representations for a demographic group and for a wide population, performing the measured interaction(s). The system is configured to associate the user to a demographic group a prescribed threshold is met, based on the comparing. | 10-13-2011 |

20110213587 | METHOD AND COMPUTER PROGRAM PRODUCT FOR FINDING STATISTICAL BOUNDS, CORRESPONDING PARAMETER CORNERS, AND A PROBABILITY DENSITY FUNCTION OF A PERFORMANCE TARGET FOR A CIRCUIT - Disclosed are embodiments of a method and an associated computer program product for finding the statistical bounds, the corresponding parameter corners and the probability density function of one or more performance targets for a circuit without requiring Monte Carlo simulation runs. To accomplish this, a joint probability density function for independent parameters that affect the performance target can be constructed. Then, based on the joint probability density function, the statistical bounds of the performance target can be found by constructing an equal-probability-density surface of the joint probability density function and solving a constrained optimization problem on that equal-probability-density surface. Once the statistical bounds are determined, the corresponding parameter corners for the performance target can also be determined. After obtaining multiple statistical bounds corresponding to different accumulated probability density, the probability density function of the performance target can also be obtained. | 09-01-2011 |

20110213588 | SYSTEM AND METHOD FOR OCCUPANCY ESTIMATION AND MONITORING - A system computes occupancy estimates based on one or more inputs, including sensor data from one or more sensor devices, constraints on allowable occupancy levels, and one or more utility functions. An occupancy estimator organizes the sensor data, the utility functions and an occupancy estimate into an objective function and executes a constrained optimization algorithm that computes the occupancy estimate, subject to the constraints, such that the objective function is minimized. The computed occupancy estimate is provided as an output by the system to one or more control and/or monitoring systems. | 09-01-2011 |

20110153272 | METHODS AND SYSTEMS FOR HIGH SIGMA YIELD ESTIMATION USING REDUCED DIMENSIONALITY - For an integrated circuit associated with a first plurality of parameters whose values are described by a first probability distribution function, a method for estimating a failure probability includes selecting a first plurality of samples, performing a first test to determine an outcome for each of the first plurality of samples and identifying failed samples. A second plurality of parameters is selected that has fewer parameters than the first plurality of parameters. The failed samples are clustered in the space of the second plurality of parameters using a computer-implemented cluster forming method that, in some cases, returns multiple clusters. The method also includes forming a probability distribution function for each of the clusters, forming a composite probability distribution function that includes a weighted combination of the first probability distribution function and the probability distribution function for each of the clusters. The method further includes selecting a second plurality of samples using the composite probability distribution function and performing a second test to determine an outcome for each of the second plurality of samples. A failure probability can then be computed. | 06-23-2011 |

20110218769 | MAGNETIC DATA PROCESSING DEVICE, METHOD, AND PROGRAM - In a magnetic data processing device, an input part sequentially receives magnetic data q | 09-08-2011 |

20110153271 | METHODS AND SYSTEMS FOR HIGH SIGMA YIELD ESTIMATION - For an integrated circuit associated with a plurality of parameters whose values are described by a first probability distribution function, a method for estimating a failure probability includes selecting a first plurality of samples, performing a first test to determine an outcome for each of the first plurality of samples and identifying failed samples, and clustering the failed samples using a computer-implemented cluster forming method that, in some cases, returns multiple clusters. The method also includes forming a probability distribution function for each of the clusters, forming a composite probability distribution function that includes a weighted combination of the first probability distribution function and the probability distribution function for each of the clusters. The method further includes selecting a second plurality of samples using the composite probability distribution function and performing a second test to determine an outcome for each of the second plurality of samples. A failure probability can then be computed. | 06-23-2011 |

20110270575 | RADIO-NUCLIDE MIXTURE IDENTIFICATION USING MEDIUM ENERGY RESOLUTION DETECTORS - According to one embodiment, a method for identifying radio-nuclides includes receiving spectral data, extracting a feature set from the spectral data comparable to a plurality of templates in a template library, and using a branch and bound method to determine a probable template match based on the feature set and templates in the template library. In another embodiment, a device for identifying unknown radio-nuclides includes a processor, a multi-channel analyzer, and a memory operatively coupled to the processor, the memory having computer readable code stored thereon. The computer readable code is configured, when executed by the processor, to receive spectral data, to extract a feature set from the spectral data comparable to a plurality of templates in a template library, and to use a branch and bound method to determine a probable template match based on the feature set and templates in the template library. | 11-03-2011 |

20110172962 | Fusing Multi-Sensor Data Sets According To Relative Geometrical Relationships - In particular embodiments, fusing multi-sensor data sets includes receiving a first sensor data set and a second sensor data set generated in response to sensing a structure. The sensor data sets describe structural features of the structure. First delta vector sets are generated for the first sensor data set, and second delta vector sets are generated for the second sensor data set. Each delta vector set comprises delta vectors indicating relative geometrical relationships between a structural feature and other structural features. Association scores are determined for delta pairs comprising a first delta vector set and a second delta vector set. Same feature delta pairs are identified according to the association scores. A same feature delta vector set comprises a delta pair corresponding to the same structural feature. | 07-14-2011 |

20110276310 | SYSTEMS AND METHODS FOR QUANTIFYING REACTIONS TO COMMUNICATIONS - Embodiments of methods and systems are described that provide methods for quantifying an entity's reaction to one or more communication signals by quantifying a probabilistic relationship between the communication signal and a known relationship of an attribute to the communication signal. With this quantification, the entity's reaction can be modeled as probability distributions that can be compared to the communication signal and known relationship. With this information, an entity's reactions can be compared to an ideal algorithm that optimally integrates the known relationships and communication signals to arrive at an optimal reaction. By making this comparison between the entity's reaction and an optimal reaction, a quantitative calibration measure can be determined. The meaning of the communication signals, or relationships to an attribute, may or may not be known and in embodiments the quantification of reactions can provide an ability to estimate an unknown attribute from the communication signals. | 11-10-2011 |

20080221832 | METHODS FOR COMPUTING POSITIONAL BASE PROBABILITIES USING EXPERMINENTALS BASE VALUE DISTRIBUTIONS - Aspects of the various embodiments of the invention relate generally to computing relative base value probabilities using discrete experimental base values to calculate distributions of relative base probabilities. This information can be used with associated experimental measurements to increase the accuracy of the data analysis. | 09-11-2008 |

20090157352 | METHOD AND APPARATUS FOR USING MOBILE CODE FOR DISTRIBUTED DATA FUSION IN NETWORKED SENSING SYSTEMS - A sensing system includes a set of sensors and a data-fusing mechanism coupled to at least one of these sensors. In the set of sensors, at least one sensor is configured to store one or more measurement models for one or more phenomenon states. Furthermore, at least one sensor in the set of sensors is configured to sample a measurement value and generate a likelihood function based on the sampled measurement and the measurement models. The data-fusing mechanism coupled to a respective sensor in the set of sensors is configured to collect one or more likelihood functions generated by the one or more sensors and use the collected likelihood functions to compute an aggregate probability of a phenomenon state. | 06-18-2009 |

20090105987 | SITUATION-AWARE RECOMMENDATION USING LIMITED CLUSTER SIZES - In one embodiment, data relating to usage patterns of the user is stored, wherein the data includes information as to items which were used and the context in which they were used. The data is then clustered into clusters of data points, wherein the number of data points per cluster is limited based on a preset value. Then a centroid is determined for each of the clusters. Clusters similar to the current context of the user are then selected by comparing a data point representing the current context of the user to one or more of the centroids. Then, for each of the one or more items, a probability that the user wishes to use the corresponding item is computed, based on the selected similar clusters, wherein the probabilities are used to recommend one or more of the items. | 04-23-2009 |

20080215291 | Complex signal decomposition and modeling - A system, method and program product for monitoring a complex signal for ultrasensitive detection of state changes, or for signature recognition and classification is provided. A complex signal is decomposed periodically for empirical modeling. Wavelet analysis, frequency band filtering or other methods may be used to decompose the complex signal into components. A library of signature data may be referenced for selection of a recognized signature in the decomposed complex signal. The recognized signature may indicate data being carried in the complex signal. Estimated signal data may be generated for determination of an operational state of a monitored process or machine using a statistical hypothesis test with reference to the decomposed input signal. | 09-04-2008 |

20080201104 | Monitoring a degrading system - The present disclosure is concerned with the identification of fault origins of slowly degrading systems such as industrial gas turbines. Following the initial input of some parameter values, exemplary procedure comprises a number of steps which are repeated periodically during the operation of the gas turbine. First, for each potential fault such as e.g. a contamination of compressor blades, erosion of turbine blades or corrosion of machine parts, a pre-symptom fault probability, characteristic of the specific gas turbine considered, and a symptom-conditional fault probability are calculated. In a second step, on-line data from the monitoring devices are loaded in order to update information about symptoms such as e.g. reductions in polytropic efficiency and in flow capacity, changes in vibration spectrum, or other machine condition indicators, and a post-symptom fault probability is calculated. In a third step, the calculated fault probabilities are displayed and transmitted to a planning system for scheduling of gas turbine operation or maintenance actions. | 08-21-2008 |

20090187381 | Novelty detection - A method and apparatus for detecting an abnormality in e.g. in operating characteristics or function of a machine, apparatus or system, the method including providing a data sample set comprising n values of a measured physical parameter associated with the apparatus or system generated by repeating a measurement of the physical parameter n times. An extremal measured parameter value is selected from amongst the data sample set, determining a probability of observing the selected parameter value (e.g. of observing a value not exceeding the selected parameter value) by applying the selected parameter value to an extreme value probability distribution function having a location parameter and a scale parameter. The value of the location parameter and the value of the scale parameter are each constructed using an integer value m (e.g. notionally representing the size of a sub-sample data set comprising m of said measured parameter values) in which m is less than n (i.e. m | 07-23-2009 |

20090198473 | METHOD AND SYSTEM FOR PREDICTING SYSTEM PERFORMANCE AND CAPACITY USING SOFTWARE MODULE PERFORMANCE STATISTICS - A method and system for predicting performance and capacity of an information technology (IT) system before the IT system is built, where the predicting uses a database of performance statistics measured for reusable software modules. A performance simulation modeling tool receives a set of performance statistics of a test computer. The set of performance statistics is associated with a set of software modules included in a library of reusable software modules. The set of software modules is required to build a target IT system. The set of performance statistics is received from a database of performance statistics resulting from individual executions on the test computer of each reusable software module in the library. The performance simulation modeling tool predicts computing resources required by the target IT system. The computing resources prediction follows the receipt of the set of performance statistics and precedes the target IT system being built. | 08-06-2009 |

20090112516 | SYSTEM AND METHOD FOR RELATING INFORMATION ACROSS SEEMINGLY UNRELATED TOPICS - A system and method for determining likelihoods of relationships between unrelated variables associated with characteristics of a user includes collecting scores for a plurality of variables and transforming the scores to discrete values. A first property having a discrete value and a second property having a discrete value are selected. How many times more likely the first property is exhibited for people who have the second property as compared to a general probability in an entire population for the first property to be exhibited is represented by computing a ratio of probabilities. The ratio of probabilities is reported. | 04-30-2009 |

20090210195 | SIMULATED BUCKET TESTING - The subject matter disclosed herein relates to simulation of bucket testing. | 08-20-2009 |

20090012747 | Multiple Line Width Electromigration Test Structure and Method - Apparatus and methods pertaining to examining electromigration lifespan are disclosed. In one aspect, a method of manufacturing is provided that includes forming a test structure on a semiconductor substrate. The test structure includes a first conductor structure that has a first cross-sectional area and a second conductor structure that has a second cross-sectional area larger than the first cross-sectional area. Current is flowed through the first and second conductor structures at current densities sufficient to cause electromigration in the first and second conductor structures. The current is monitored for drops indicative of electromigration failure of one or both of the first and second conductor structures. The time elapsed before the failure of the one or both of the conductor structures is recorded. | 01-08-2009 |

20090240468 | RISK-BASED DESIGN AND MAINTENANCE SYSTEMS AND METHODS - A method for determining an optimal inspection schedule for a structure is described. The method includes determining a crack size distribution table for the structure, determining a plurality of risk values, each risk value for a different estimated usage hours of the structure and based on said crack size distribution table, estimating a first inspection interval based on a predetermined risk value threshold, and determining a second inspection interval based on analyzing the rate of increase of risk value and probability of detection of a crack in said first inspection interval. | 09-24-2009 |

20090063095 | Probability state models - The present invention provides a method of analyzing multidimensional data using a computer as well as methods of displaying multidimensional data to a user for further analysis. In other aspects the present invention provides for a system for state model fitting, the system comprising a detector, and a computer operably connected to the detector, wherein the computer accesses one or more logic instructions for receiving raw data from the computer, and generating a state model of the raw data. | 03-05-2009 |

20080255803 | DETECTABLE DEFECT SIZE AND PROBABILITY-OF-DETECTION - Predicting the probability of detection of major and minor defects in a structure includes simulating a plurality of N defects at random locations in a region specified by an array of transducers. Defect size is incremented until it intersects one path between two transducers. The defect size is again incremented until it intersects two or more adjacent paths between pairs of transducers. The number of major defects up to a selected size is determined by the total number of single path intersections by defects up to the selected size. The number of minor defects up to a selected size is determined on the basis of the total number of defects intersecting two or more paths up to the selected size. The probability of detection up to a selected size is the cumulative number of major or minor defects up to the selected size normalizing by N. | 10-16-2008 |

20080255801 | Optical metrology using a support vector machine with simulated diffraction signal inputs - A structure formed on a semiconductor wafer can be examined using a support vector machine. A profile model of the structure is obtained. The profile model is defined by profile parameters that characterize the geometric shape of the structure. A set of values for the profile parameters is obtained. A set of simulated diffraction signals is generated using the set of values for the profile parameters, each simulated diffraction signal characterizing the behavior of light diffracted from the structure. The support vector machine is trained using the set of simulated diffraction signals as inputs to the support vector machine and the set of values for the profile parameters as expected outputs of the support vector machine. A measured diffraction signal off the structure is obtained. The measured diffraction signal is inputted into the trained support vector machine. Values of profile parameters of the structure are obtained as an output from the trained support vector machine. | 10-16-2008 |

20080255804 | GENERATING DAMAGE PROBABILITY-OF-DETECTION CURVES IN STRUCTURAL HEALTH MONITORING TRANSDUCER NETWORKS - A method for automatically creating a probability of detection (POD) curve of an entire network of transducers monitoring and detecting damage in a structure is based on the POD of each of the individual actuator-sensor paths. These individual path PODs may be generated in different ways, such as by experimentation or simulation. This technique makes it possible to create the POD curve of a structural health monitoring (SHM) system for the detection of damages in structures. | 10-16-2008 |

20080300826 | FORENSIC INTEGRATED SEARCH TECHNOLOGY WITH INSTRUMENT WEIGHT FACTOR DETERMINATION - A system and method to search spectral databases and to identify unknown materials from multiple spectroscopic data in the databases. The methodology may be substantially automated and is configurable to determine weights to be accorded to spectroscopic data from different spectroscopic data generating instruments for improved identification of unknown materials. Library spectra from known materials are divided into training and validation sets. Initial, instrument-specific weighting factors are determined using a weight grid or weight scale. The training and validation spectra are weighted with the weighting factors and indicator probabilities for various sets of “coarse” weighting factors are determined through an iterative process. The finally-selected set of coarse weighting factors is further “fine tuned” using a weight grid with finer values of weights. The instrument-specific finer weight values may be applied to test data sets (or spectra) of an unknown material as well as to the library spectra from corresponding spectroscopic instruments. Instrument-specific weights for each class of samples may also be computed for additional customization and accuracy. | 12-04-2008 |

20090024357 | Object Path Prediction Method, Apparatus, and Program, and Automatic Operation System - An object path prediction method, apparatus, and program and an automatic operation system that can secure safety even in situations that can actually occur are provided. For this purpose, a computer having a storage unit that stores the position of an object and the internal state including the speed of the object reads the position and internal state of the object from the storage unit, generates trajectories in a space-time consisting of time and space from changes of the positions that can be taken by the object with the passage of time based on the read position and internal state of the object, and predicts probabilistically paths of the object by using the generated trajectories. | 01-22-2009 |

20090112517 | Method And Apparatus For Determining Accuracy Of The Estimated Location For A Target In A Wireless System - A method for determining the accuracy of the estimated position for a target device in a wireless system includes the computation of a confidence index. In the online location determining phase, after knowing the observations of the radio signal for a target device, the target device's probability distribution of location and its motion model are combined to calculate the position uncertainty, thereby giving the confidence index of this location estimate. The invention determines the location probability distribution, and calculates the uncertainty of the location probability distribution and the possible maximum uncertainty under the current situation. Based on these uncertainties, this invention determines the confidence index of the radio signal. The confidence may be regarded as a quantity that the location uncertainty can be excluded in the location prediction. The larger the quantity is, the more confident and the more accurate the estimated location is. | 04-30-2009 |

20090171623 | Multimodal Fusion Decision Logic System For Determining Whether To Accept A Specimen - The present invention includes a method of deciding whether a data set is acceptable for making a decision. A first probability partition array and a second probability partition array may be provided. One or both of the probability partition arrays may be a Copula model. A no-match zone may be established and used to calculate a false-acceptance-rate (“FAR”) and/or a false-rejection-rate (“FRR”) for the data set. The FAR and/or the FAR may be compared to desired rates. Based on the comparison, the data set may be either accepted or rejected. The invention may also be embodied as a computer readable memory device for executing the methods. | 07-02-2009 |

20090144023 | METHOD AND SYSTEM FOR ASSESSING PERFORMANCE OF CONTROL SYSTEMS - 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. | 06-04-2009 |

20090182530 | NOISE SEPARATING APPARATUS, NOISE SEPARATING METHOD, PROBABILITY DENSITY FUNCTION SEPARATING APPARATUS, PROBABILITY DENSITY FUNCTION SEPARATING METHOD, TESTING APPARATUS, ELECTRONIC DEVICE, PROGRAM, AND RECORDING MEDIUM - There is provided a noise separating apparatus that separates a probability density function of a predetermined noise component from a probability density function of a signal under test. The noise separating apparatus includes a domain transforming section that is supplied with the probability density function of the signal under test and transforms the probability density function into a spectrum in a predetermined variable axis, and a standard deviation computing section that computes standard deviation of a random component of noise contained in the signal under test based on a magnitude of a predetermined variable component in a main lobe of the spectrum. | 07-16-2009 |

20090043537 | PROBABILITY DENSITY FUNCTION SEPARATING APPARATUS, PROBABILITY DENSITY FUNCTION SEPARATING METHOD, PROGRAM, TESTING APPARATUS, BIT ERROR RATE MEASURING APPARATUS, ELECTRONIC DEVICE, AND JITTER TRANSFER FUNCTION MEASURING APPARATUS - There is provided a probability density function separating apparatus that separates a predetermined component in a given probability density function. The probability density function separating apparatus includes a domain transforming section that is supplied with the probability density function and transforms the probability density function into a spectrum in a predetermined variable axis, and a deterministic component computing section that multiplies a multiplier coefficient according to a type of distribution of a deterministic component included in the given probability density function by a value, in the variable axis, of a first null of the spectrum and computes a peak to peak value of the probability density function with the deterministic component. | 02-12-2009 |

20090125274 | SENSOR CONTROL - A system/method of controlling a sensor to sense one target from a plurality of targets includes predicting states of the targets. A set of probability distributions is generated. Each probability distribution in the set represents a setting or settings of at least one control parameter of the sensor. An expected information gain value for each said control parameter in the set is calculated. The information gain value represents an expected quality of a measurement of one of the targets taken by the sensor if controlled according to the control parameter, based on the predicted state of the target. Updating the set of probability distributions takes place to identify the sensor control parameters that maximise the expected information gain value. The sensor is then controlled in accordance with the maximising control parameters. | 05-14-2009 |

20090216489 | SYSTEMS AND METHODS FOR DERIVING PARAMETERS FOR IMPULSE NOISE DETECTORS - Systems and methods for deriving parameters for frequency domain impulse noise detectors are described. At least one embodiment is a method for deriving a set of parameters associated with a frequency domain impulse noise detector. In accordance with such embodiments, the method comprises setting values for β | 08-27-2009 |

20080249743 | LOAD CALCULATING DEVICE AND LOAD CALCULATING METHOD - There is provided with a load calculating device including: a variable acquiring unit configured to acquire, as monitoring variables, a detected value by a sensor monitoring a state of a circuit board and a performance characteristic obtained by a tool monitoring performance of the circuit board; a first storage configured to store a first statistical model that is one of a regression model, an occurrence frequency distribution and a probability distribution; a second storage configured to store a second statistical model that is one of a regression model, an occurrence frequency distribution and a probability distribution; and an arithmetic processor configured to calculate the intermediate variable from the monitoring variables acquired by the variable acquiring unit according to the first statistical model and calculate the physical quantity from calculated intermediate variable according to the second statistical model. | 10-09-2008 |

20090012746 | Predicting Sand-Grain Composition and Sand Texture - A method and apparatus for predicting sand-grain composition and sand texture are disclosed. A first set of system variables associated with sand-grain composition and sand texture is selected ( | 01-08-2009 |

20090024356 | DETERMINATION OF ROOT CAUSE(S) OF SYMPTOMS USING STOCHASTIC GRADIENT DESCENT - Diagnosis of one or more root causes of symptoms is performed by using stochastic gradient descent to find the optimal parameters of a variational distribution. This methodology, called variational gradient descent, permits fast diagnosis for a large number (greater than 1,000) or very large number (greater than 1,000,000) of symptom observations. A real-time application of the root cause diagnosis can determine currently occurring intermittent root causes. Diagnosis can be performed in a number of scenarios, such as medical disease detection or computer/network failure. | 01-22-2009 |

20080294376 | SYSTEM AND METHOD FOR PREDICTING MEDICAL CONDITION - In one embodiment, a method of deriving probability of a medical condition is provided. The method comprises obtaining a first medical data corresponding to a first medical subject from at least one medical information system, obtaining a second medical data corresponding to the first medical subject from an electronic data system, selecting at least one second medical subject with a second medical data substantially same as the second medical data of the first medical subject, obtaining medical condition data for the second medical subject, wherein the medical condition data comprises data corresponding to a medical condition, correlating the first medical data with the medical condition data and deriving probability of the medical condition in the first medical subject based upon the first medical data and the medical condition data. | 11-27-2008 |

20080294375 | Method and Device for Selecting Multimedia Items, Portable Preference Storage Device - A method of automatically selecting an item (e.g. s | 11-27-2008 |

20080262794 | Computer program product, method, and apparatus for reliability evaluation - Information of an action of fact confirmation performed between nodes that are objects relating to fact confirmation in an application procedure is read from a predetermined storage unit that previously stores whether an action of fact confirmation is an action of operating information or an action of confirming information, and based on the read information of the action, when a fraud is committed in an action of operating information, reliability of the application procedure is calculated based on a probability of a detection of a fraud in an action of confirming information performed in a node connected to the action of operating information. | 10-23-2008 |

20080255802 | Real-time high-speed monitoring of steady state - In one embodiment, the disclosure relates to a method for predicting a steady state performance of a switched circuit having a first state and a second state, the method includes: identifying a plurality of circuit components, each circuit component having at least one component parameter; determining a transition matrix for the first state [A | 10-16-2008 |

20080243435 | Method for determining a temporal profile of a probability distribution with local three-dimensional resolution for the presence of a substance in a vascular system - The invention relates to a method for determining a probability distribution with local three-dimensional resolution for a substance in a vascular system. An acquisition time is assigned to a group of x-ray images showing a presence distribution with local 2D resolution for a substance in the vascular system at the acquisition time. A first preliminary presence probability distribution is determined using the x-ray images assigned to the acquisition time and a volume data set of the vascular system. A second preliminary presence probability distribution is determined using the presence probability distribution for the preceding acquisition time and a migration probability distribution with the substance migrating from first vascular locations to second vascular locations. A high individual probability to vascular locations is assigned if both preliminary presence probability distributions have a high probability value for the respective vascular location. Otherwise a lower and greater than zero individual probability is assigned. | 10-02-2008 |

20080234978 | MODELLING - The method provides for the fitting of a different distribution to the tail of a distribution of continuous data, than that distribution fitting to the rest of the distribution. By fitting a distribution to this set of occurrences only, better distributions shapes are obtained for that part of a distribution which might otherwise be overly sensitive to individual or small numbers of occurrences. Over sensitivity can make such distributions unreliable in situations where their value is compared with the value of another distribution. A distribution which does not decline quickly to zero is preferred for the tail, for instance a heavy tailed distribution. | 09-25-2008 |