Abstract: Systems and methods are provided to calibrate and compensate for signal impairments from the use of cables in data communication devices. Signal impairments such as intra-pair skew of differential signals and frequency dependent insertion loss are measured during a calibration phase. One end of the cable is connected to a communication device. The other end of the cable is configured to loop back calibration signals transmitted from the communication device. The calibration signals looped back from the communication device are received and measured by the communication device. The measured impairments are used to determine transmit and receive impairment compensation settings to compensate for impairments caused by the cable. These settings are stored and used to adjust signals transmitted from the communication device to compensate for the transmit impairment. These setting are also used to adjust signals received by the communication device to compensate for the receive impairment.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Certain embodiments of the invention may include systems and methods for predicting transient operational characteristics of a power plant. According to an example embodiment of the invention, a method is provided for predicting transient operational characteristics of a power plant. The method can include receiving operating information associated with the power plant; using a power plant dynamics model for determining a current operating state of the power plant based at least in part on the received operating information; and using the power plant dynamics model and a power plant controls model for predicting one or more future operating parameters associated with power plant based at least in part on the determined current operating state and the received operating information.

Abstract: 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.

Abstract: The defect-containing die identified from an inspection layer analysis subsequent to a manufacturing step for a wafer including a plurality of die and as well as the faulty die identified from a fault testing of the wafer are processed to identify a subset of the die that both contain a defect and are faulty. A probability analysis is performed to determine a confidence level of whether the die in the subset are faulty due to their defects.

Abstract: 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.

Abstract: 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).

Abstract: 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.

Abstract: A method for predicting a characteristic of an overcoat for a media for a hard disc drive is disclosed. An overcoat is probed via a microscope using inelastic scattering of a photon by optical phonons from the overcoat to generate data related to in-plane bond-stretching motion of pairs of atoms of the overcoat. The data is fit to a curve at a computer system. A characteristic of the overcoat is predicted based on the curve at the computer system.

Abstract: A method and a system for operating a mobile robot comprise a range finder for collecting range data of one or more objects in an environment around the robot. A discriminator identifies uniquely identifiable ones of the objects as navigation landmarks. A data storage device stores a reference map of the navigation landmarks based on the collected range data. A data processor establishes a list or sequence of way points for the robot to visit. Each way point is defined with reference to one or more landmarks. A reader reads an optical message at or near one or more way points. A task manager manages a task based on the read optical message.

Abstract: 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).

Abstract: 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.

Abstract: A method for calculating the probability of moisture build-up in a compressor includes the steps of sensing a temperature of the ambient air, sensing a discharge pressure of the compressor, sensing a temperature of the compressor, processing the ambient air temperature and operating pressure sensed to obtain a required temperature at which condensation will form, and comparing the temperature of the compressor to the required temperature.

Abstract: 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.

Abstract: 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.

Abstract: A “Placement Detector” enables handheld or mobile electronic devices such as phones, media players, tablets, etc., to infer their current position or placement. Placement inference is performed by evaluating one or more sensors associated with the device relative to one or more trained probabilistic models to infer device relative to a user. Example placement inferences include, but are not limited to, inferring whether the device is currently in a user's pocket, in a user's purse (or other carrying bag or backpack), in a closed area such as a drawer or box, in an open area such as on a table, indoors, outdoors, etc. These types of placement inferences facilitate a wide range of automated user-device interactions, including, but not limited to, placement-dependent notifications, placement-dependent responses to various inputs, prevention of inadvertent “pocket dialing,” prevention of inadvertent power cycling of devices, lost or misplaced device location assistance, etc.

Abstract: 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.

Abstract: An installation error estimating device has a predicted pattern acquirer which obtains a predicted positioning distribution pattern, which is obtained by computing a characteristic pattern of a predicted positioning distribution obtained by predicting a logical positioning distribution, at each observation point where a wireless tag is installed for positioning; and an observation data inputter to which positioning results obtained from the wireless tags by a tag reader are input as observation data. A dispersion pattern analyzer computes a characteristic pattern of a measured positioning distribution, which is obtained by statistical analysis of the applicable positioning result, as a measured positioning distribution pattern at each observation point based on the observation. An installation error estimator computes the installation error for the tag reader using the predicted positioning distribution patterns obtained and the measured positioning distribution patterns computed.

Abstract: In an embodiment, deltas are calculated between respective current metric values for respective entities and previous metric values for the respective entities. A subset of the deltas is determined. A sum of the subset is calculated, and the sum is divided by a number of the subset to create an average delta for the subset. If one of the respective entities has one of the deltas that is greater than or equal to the average delta for the subset and the one of the respective entities was not previously used to create the previous prediction, then a current prediction is created.

Abstract: 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.

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

Abstract: A method for determining switching characteristics in electronic devices is disclosed. The method includes applying a ramped series of electrical pulses, identifying a candidate switching pulse, grouping the measured parameter values for the remaining electrical pulses, extrapolating an expected parameter value for the candidate switching pulse for each group, and comparing the expected parameter value for each group to the parameter value for the candidate switching pulse. The method also includes applying a ramped series of electrical pulses, identifying a candidate switching pulse, and clustering the remaining measured parameter values.

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

Abstract: A method of controlling process distribution of a semiconductor process includes receiving process distribution data representing the process distribution of the semiconductor process, receiving a parameter related to the process distribution, generating a virtual metrology model corresponding to the process distribution based on a relationship between the process distribution data and the parameter, and modifying a process variable affecting the process distribution based on the virtual metrology model.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Techniques for improving parametric chip yield of manufactured chips are provided. In one aspect, a method for optimizing parametric chip yield is provided. The method includes the following steps. Parametric chip yield is computed based on performance and power consumption of a plurality of manufactured chips subject to a given voltage binning scheme. It is then determined whether the parametric chip yield computed is optimal. If the parametric chip yield is not optimal, the voltage binning scheme is altered and the compute and determine steps are repeated. Otherwise the binning scheme is left unaltered.

Abstract: A method for encoding an audio signal including: processing a selected subset of a lower series of samples forming a lower frequency spectral band of the audio signal and a higher series of samples forming a higher frequency spectral band of the audio signal to parametrically encode the higher series of samples forming the higher frequency spectral band by identifying a sub-series of the lower series of samples.

Abstract: 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.

Abstract: In one aspect, a data processing system includes a virtual temperature sensor to provide system temperature for different system configurations, and a controller coupled to the sensor to control operations of the data processing system according to the virtual temperature. The virtual temperature sensor typically derives the temperature of a particular configuration of the data processing system using mathematical models or one or more operating parameters of the data processing system. In one example, the mathematical models include a characterization table which provides the measured temperature data from various system configurations. These measurements are performed with temperature sensors positioned in ideal locations for different configuration, and are preprocessed to provide the virtual temperature computation. The characterization table also includes thermal characteristics, such as thermal time constant and thermal resistance, of the critical components at multiple thermal control states.

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

Abstract: 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.

Abstract: 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.

Abstract: A method/apparatus/system for educational intervention based on a response metric is disclosed. The notice is generated in response to the collection of user and question data, the sending of questions, the receipt of answers, the evaluation of the correctness of the answers, the generation of a response metric, the comparison of the response metric to a threshold, and the generation of the report or notice. The response metric can be reflect the scatter, randomness, and/or slope of student provided answer data, and can be a fractal dimension.

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

Abstract: A pitot tube diagnostic system including a data acquisition unit to acquire an output signal of a pitot-static system, the output signal having a static component and a dynamic component, and a processing unit to monitor the dynamic component for one or more characteristics that deviate from one or more predetermined reference characteristics to indicate impairment of the pitot-static system.

Abstract: Methods, system and devices for monitoring control parameters in a closed loop control operation including continuously monitoring glucose level and automatic administration of a medication, detecting a condition associated with hypoglycemia, determining whether a probability of the detected condition associated with hypoglycemia exceeding a threshold level, and outputting a notification based upon the determination are provided.

Abstract: 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.

Abstract: 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.

Abstract: The prognostic tool disclosed here decomposes the problem of estimating the remaining useful life (RUL) of a component or sub-system into two separate regression problems: the feature-to-damage mapping and the operational conditions-to-damage-rate mapping. These maps are initially generated in off-line mode. One or more regression algorithms are used to generate each of these maps from measurements (and features derived from these), operational conditions, and ground truth information. This decomposition technique allows for the explicit quantification and management of different sources of uncertainty present in the process. Next, the maps are used in an on-line mode where run-time data (sensor measurements and operational conditions) are used in conjunction with the maps generated in off-line mode to estimate both current damage state as well as future damage accumulation.

Abstract: A method to model a complex system of pipes. The model takes into account the physical processes in a tree-type piping system and provides for an accurate modeling of a real world tree-type piping system. In a preferred embodiment, a computer program is provided for analyzing models of dry pipe systems. The computer program includes a user interface and a computational engine. The user interface allows a model of a dry pipe system to be defined and the computational engine determines a liquid flow time through the model of the dry pipe system. The computational engine provides a verification of the liquid flow time in a model of a referential dry pipe system within 20% of an actual liquid flow time in the referential dry pipe system.

Abstract: 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.

Abstract: A method, apparatus and computer product for modeling and analyzing additional services incorporated into a Voice-over-IP (VoIP) configuration composed of a plurality of components is disclosed.

Abstract: Data associated with at least one building condition or status is sensed by one or more sensors. The data from these sensors may be sent over a data bus and received by the central computer. In addition, a modulated signal may be transmitted by one or both of the transmitters across the data bus. The modulated signal is received at the receiver, which analyzes the received modulated signal, and determines whether an intermittent fault has occurred on the data bus based upon the analyzing. For example, the receiver may compare the received signal to an expected pattern and when a discrepancy exists, an intermittent fault is determined to exist. The receiver may also determine the location of the fault based upon the analysis.

Abstract: A parameter correction method includes: obtaining, from a variability-aware simulation, a simulation result value of a predetermined product performance for a reference candidate value set concerning statistics of predetermined product characteristics; calculating a likelihood by substituting the reference candidate value set, the obtained simulation result value, statistics of measurement values of the predetermined product characteristics and a measurement value of the predetermined product performance into a likelihood function that is defined from a probability density function for the statistics of the predetermined product characteristics and a probability density function for the predetermined product performance, and is a function to calculate a combined likelihood of the statistics of the predetermined product characteristics and the predetermined product performance; and searching for a reference candidate value set in case where the calculated likelihood becomes maximum, by carrying out the obtaini

Abstract: The method proposed is an approach for creating, valuing and securitizing derivative instruments which are linked to a casino's or a basket of casinos' aggregate win rate. The invention has several components, all of which are facilitated by software: (1) a method for developing a risk profile for a given casino or a portfolio of casinos; (2) a method for estimating the optimal hedging strategy for a given casino based on level risk profile, maximum wagers at the table and required liquidity/corporate finance structure; (3) a method for estimating the expected value of variances in actual win rate to the threshold win rate; and (4) a method for developing the features required for securitizing an individual casino's or a portfolio of casino's derivative contracts.