Abstract: Embodiments of the invention include systems and methods for automatically predicting production yield for a circuit assembly according to attributes of its components and defect data mapped thereto. Embodiments receive a proposed design specification for a circuit assembly, including bill of materials (BOM) and schematic data, at a yield prediction environment. The yield prediction environment maps a set of attributes to each component in the BOM and maps a set of possible defects to each component according to its attributes. Defects may be further mapped to a manufacturing process assigned to populate each component in the circuit assembly. The defects are associated with predicted frequencies of occurrence, which can be used to roll up a yield prediction for the circuit assembly. Embodiments further allow “what-if” analyses to be performed so that different yield prediction results can be compared according to different form factor options and/or different manufacturing process options.

Abstract: A method, system and program storage device for history matching and forecasting of subterranean reservoirs is provided. Reservoir parameters and probability models associated with a reservoir model are defined. A likelihood function associated with observed data is also defined. A usable likelihood proxy for the likelihood function is constructed. Reservoir model parameters are sampled utilizing the usable proxy for the likelihood function and utilizing the probability models to determine a set of retained models. Forecasts are estimated for the retained models using a forecast proxy. Finally, computations are made on the parameters and forecasts associated with the retained models to obtain at least one of probability density functions, cumulative density functions and histograms for the reservoir model parameters and forecasts. The system carries out the above method and the program storage device carries instructions for carrying out the method.

Abstract: 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.

Abstract: In summary, the invention relates to a device, a system, a method and a computer program for spectrum sensing. A detection procedure for detecting a signal of interest or an event by using a plurality of sensing devices capable of communicating with a central unit is proposed. The sensing devices can compute soft detection metrics and communicate this information to a central unit, where the information may be used to make a final detection decision using a certain specified rule. The signaling overhead of the proposed approach can be of the same order as that of a hard signaling approach. However, the proposed approach may achieve a better detection performance.

Abstract: 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.

Abstract: There is described herein the extension of the application of the Laplace Test Statistic for trend analysis and prediction of incipient faults for power systems. The extensions consider the situation where two parameters believed to contribute explicitly to the eventual failure are monitored. The developed extensions applied to actual incipient failure events provide promising results for prediction of the impending failure. It is demonstrated that by incorporating two parameters in the trend analysis, the robustness to outliers is increased and the flexibility is augmented by increasing the degrees of freedom in the generation of the alarm signal.

Abstract: An analyzer which acquires first measured data relating to a first parameter and second measured data relating to a second parameter, the first and second measured data being obtained by measuring an analyte, forms a two-dimensional distribution chart that indicates a distribution of tangible components contained in the analyte based upon the first and second measured data, with the first and second parameters being set as two axes of the two-dimensional distribution chart, sets an area on the two-dimensional distribution chart, and forms a frequency distribution chart with respect to tangible components belonging to the area, with the first parameter being set as an axis of the frequency distribution chart is disclosed.

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

Abstract: In one embodiment, the invention is a method and apparatus for selecting voltage and frequency levels for use in at-speed testing. One embodiment of a method for selecting a set of test conditions with which to test an integrated circuit chip includes formulating a statistical optimization problem and obtaining a solution to the statistical optimization problem, where the solution is the set of test conditions.

Abstract: Machine-implemented methods and apparatuses to automatically set-up a signal processing system are described. The signal processing system is set to a first bandwidth. A sampling frequency of the signal processing system is set to a first sampling frequency. Next, first samples of first signals are received at the first bandwidth and the first sampling frequency. First parameters of the first signals based on the first samples are determined. Next, a second sampling frequency is determined based on the first parameters to sample second samples. The first parameters of the first signals may be a mean transit time, a minimum transit time, a mean frequency of the signals, and a standard deviation of the frequency of the signals. Next, a mixer frequency is determined based on the first parameters. A low pass filter is set based on the mixer frequency.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Telenostics style prognostication algorithms are used in medical prognosis to predict the mean time to an unacceptable result, such as death, or the mean time to a cure or partial cure.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method for statistical quality assurance in an examination of steel products within a steel class is provided. Initially measurement samples are taken to determine at least one mechanical property. In addition to the measurement results, computed results of a computer-aided model for calculating the mechanical property of the respective steel product are used. Taking into account the statistical deviation between the measured results and the computed results, a statement is made as to whether the steel products have a specified probability of achieving a target value for the mechanical property.

Abstract: A method, apparatus and computer program product for tagging reference materials of interest in spectroscopic searching applications is presented. A reference list of materials to be considered as part of a final analysis of a spectroscopic analysis of a sample material is generated. A watchlist of at least one material to be retained for a final analysis of the spectroscopic analysis of a sample material is provided. A final analysis of the sample material is preformed using the watchlist of at least one material and the reference list of materials. A determination is then made regarding whether a spectrum of the sample material matches at least one spectrum of materials on the watchlist and on the reference list.

Abstract: A business method for defining, controlling, and optimizing a flow of value down a workflow pipeline includes creating a phase-gate workflow pipeline for one or more projects in which completion of one or more predetermined activities of each project advances the project to a succeeding phase in the pipeline. Each of the activities for each project in the pipeline is mapped to a value metric that is a function of a risk discount factor using an option valuation technique. The projects and/or portfolio of projects are then analyzed to determine the flow of value down the pipeline and managed based on analysis of this flow of value.

Abstract: 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.

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

Abstract: Embodiments of the invention include systems and methods for automatically predicting production yield for a circuit assembly according to attributes of its components and defect data mapped thereto. Embodiments receive a proposed design specification for a circuit assembly, including bill of materials (BOM) and schematic data, at a yield prediction environment. The yield prediction environment maps a set of attributes to each component in the BOM and maps a set of possible defects to each component according to its attributes. Defects may be further mapped to a manufacturing process assigned to populate each component in the circuit assembly. The defects are associated with predicted frequencies of occurrence, which can be used to roll up a yield prediction for the circuit assembly. Embodiments further allow “what-if” analysis to be performed so that different yield prediction results can be compared according to different form factor options and/or different manufacturing process options.

Abstract: 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.

Abstract: 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.

Abstract: Radiowave environment data correction that uses the data measurement results obtained at measuring points in a base station peripheral area provided for a wireless communications system, is achieved accurately at a limited number of measuring points. A radiowave environment data correcting system includes correction data determining means that determines correction data for sub-areas, the sub-areas being regions into which an assessment area is divided, on the basis of data measurement results obtained at measuring points belonging to the sub-areas, wherein division into the area is based on an area usage division that is a division predefined according to a particular layout of objects or spaces in the assessment area.

Abstract: A method of estimating states of a plurality of targets tracked by a plurality of sensors. The method includes obtaining a plurality of data sets based on measurements taken by a plurality of sensors, each data set including information on states of a plurality of targets. The method then generates a plurality of target correlation data sets describing correlation of the targets within a first data set and at least one other data set. A Generalised Covariance Union (GCU) technique is used to merge at least some of the plurality of target correlation data sets to generate an estimate of the states of the plurality of targets.

Abstract: A quantum key distribution system comprises a source of entangled photon pairs and two single-photon detectors. The source is coupled to each of the single-photon detectors by optical fiber. Operational systems parameters include the efficiency of the first single-photon detector, the efficiency of the second single-photon detector, and the maximum average number of photon pairs per unit time generated by the source. To characterize the operational systems parameters, the transmittances between the source and each single-photon detector are determined. The dark count probability of the first single-photon detector and the dark count probability of the second single-photon detector are determined. The count probability at the first single-photon detector, the count probability at the second single-photon detector, and the coincidence count probability are determined as a function of the optical power from the source.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method, a system, and an apparatus are provided for organizing management information bases (MIB) in a network. A table, associated with an overlay MIB structure, is populated with entries. Each entry defines an object identifier (OID) of a mount point and an OID of a mount target. A selection is made between the existing OIDs and OIDs corresponding to a MIB overlay. When management communication refers to managed objects, they can be referred to in terms of OIDs defined by the MIB overlay, as an alternative to their existing OIDs. An agent infrastructure is defined to support the MIB overlay structure.

Abstract: A system and computer-implemented method of providing contingency analysis information for a utility service network that includes obtaining contingency analysis information from a plurality of external sources, integrally combining the contingency analysis information obtained from each of the plurality of external sources into a single application and prioritizing the contingency analysis information in a predetermined order, dynamically updating, the contingency analysis information obtained from each of the plurality of external sources and the prioritization of the contingency analysis information based on status information, and displaying the contingency analysis information to a user via a graphical user interface.

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

Abstract: A system and approach for diagnostic visualizations of, for example, building control systems data. A focus may be on a similarity metric for comparing operations among sites relative to energy consumption. Normalizing factors may be used across sites with varying equipment consumption levels to be compared automatically. There may also be a high level overview of an enterprise of sites. For instance, consumption totals of the sites may be normalized by site size and length of time of a billing period to identify such things as outlier sites. One may use a main view of geographic distribution dynamically linked to subviews showing distribution by size, by aggregated climate, and so on. With these views, one may quickly drill through the enterprise and identify sites of interest for further investigation. A key metric may be intensity which invokes viewing virtually all sites by normalized consumption for a unit amount of time.

Abstract: A computer-based method includes collecting a sequence of measurements related to a controllable environmental parameter in a monitored space over time, deriving a master curve based on the sequence of collected measurements to characterize normal periodic variations in the controllable environmental parameter over time, collecting one or more subsequent measurements that represent the controllable environmental parameter of the monitored space, and evaluating a likelihood that the controllable environmental parameter will, at some future point in time, exceed an acceptable level by comparing a curve associated with one or more of the subsequent measurements to the master curve.

Abstract: The present invention relates to a method and device for classifying an activity of an object, the method comprising: receiving a sound signal from a sensor, determining type of sound based on said sound signal, and determining said activity based on said type of sound.

Abstract: An apparatus, method and program for estimating the mass of a vehicle uses periodically detected tire rotation speed information of the vehicle wheels, calculated tire rotation acceleration information, calculated driving force of the vehicle, and estimated mass of the vehicle as a regression coefficient when the rotation acceleration information and the driving force information are subjected to linear regression. With regard to an error in calculated driving force information, a ratio is calculated between the dispersion of the error obtained one time before and an error at the current moment, and an update adjustment parameter is calculated by adding a stabilization parameter to thus obtained ratio. The calculated update adjustment parameter is used to calculate a Kalman gain so that the mass is sequentially estimated so as to reduce an update width of the regression coefficient when the error ratio is higher.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: In order to test the integrity of products in containers, several characteristics of the products are detected with physical measuring methods and a good-bad signal is produced on the basis of the measuring results, for which purpose several of the measuring results are placed in relation to each other, which can consist in the following: the deviations of the individual measuring results from a reference value, optionally after weighting and standardization are added up and the sum is compared to a threshold value. The measuring results can also form a multidimensional area in which one or several boundary surfaces separate the good value areas from the bad value areas.

Abstract: 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.

Abstract: 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.