Abstract: A system and method for performing sorting. The method includes partitioning a plurality of keys needing sorting into a first plurality of bins, wherein the bins are sequentially sorted. The plurality of keys is capable of being sorted into a sequence of keys using a corresponding ordering system. The method includes coalescing a first pair of consecutive bins, such that when coalesced the first pair of bins falls below a threshold. The method also includes ordering keys in the first coalesced pair to generate a first sub-sequence of keys in the sequence of keys.

Abstract: Described herein are systems, mediums, and methods for detecting blockage of network traffic at a network server. A signal representative of time series data associated with network traffic is received at a processor for analysis. A data segmentation algorithm and an anomaly detection algorithm are applied in series to the received data. The segmentation algorithm detects regime shifts in the data. Data between regime shifts is considered a segment of data. The anomaly detection algorithm analyzes each segment individually to determine whether anomalies exist in the segment. If a cyclic pattern is found in the segment, the cyclic pattern is extracted from the segment leaving a residual data for analysis. A probability distribution of the residual data is determined for analysis. When an anomaly is detected in the segment o based on the probability distribution of the residual data, it is determined that blockage has occurred on the network traffic.

Abstract: A method to detect and diagnose where an error occurs in a source code that is associated with a software program or a website is provided. The method may include receiving a log report associated with the software program or the website, whereby by the log report is sent based on a hidden tag associated with the software program or the website. The method may also include analyzing the received log report. The method may further include detecting at least one error based on the analysis of the received log report. The method may include reverting back to a previous line in the source code associated with the software program or the website, whereby the reverting is based on the detection of the at least one error.

Abstract: A method for tracking weather cells from a moving platform includes receiving, from a detection and ranging system, reflectivity data sampled for a volume of space and generating a feature map based on the reflectivity data, wherein the feature map is a representation of the volume of space that indicates locations with significant weather and generating a first segmented feature map based on the feature map that identifies the location and spatial extent of individual weather cells. The method further includes translating the first segmented feature map and a second segmented feature map, generated from data collected at a different point in time and/or space, to a common frame of reference and comparing the first segmented feature map to the second segmented feature map. The method further includes creating one or more track hypotheses based on the comparison of the first segmented feature map and the second segmented feature map.

Abstract: Systems and methods for automated fault detection in a building management system are shown and described. The systems and methods further involve organizing the data set into bins, each bin containing a plurality of the observed points for the variable of the building management system. The systems and methods further involve calculating, for each bin, a target parameter and an estimator of scale for the observed points. The systems and methods further involve detecting, for each bin, an outlier of the building management system by comparing a data point of the bin to the calculated target parameter and estimator of scale for the bin.

Abstract: A method of analyzing blade tip timing data obtained from an array (Pk) of stationary timing probes (3) that are spaced at integer multiples of a base angle. Replace one of the probes (3) with a virtual probe (Pv) to give a virtual probe set (42). Set an initial probe angle (?v) and an initial engine order (EOv) for the virtual probe (Pv). Calculate the condition number (CN) for the virtual probe set (42). If the condition number (CN) at least meets a threshold criterion, solve the virtual probe set (42) for blade tip displacement amplitude. Else increment the virtual probe angle (?v) and/or the virtual engine order and iterate from calculating the condition number. Else reinstate the replaced probe (3) and replace a different probe (3) from the array of probes (Pk) with the virtual probe (Pv); then iterate from setting the initial virtual probe angle and engine order.

Abstract: A playlist is received, based on information identifying a user-association to the playlist at a remote playlist source, at a media player device from the remote playlist source coupled to the media player device over an Internet network connection, the playlist comprising a plurality of item identifiers identifying a corresponding plurality of items. The playlist is communicated from the media player device to a wireless handheld remote control coupled to the media player device over a LAN connection using the Transmission Control Protocol/Internet Protocol (TCP/IP). At least one item identifier is received from the wireless handheld remote control. At least one item corresponding to the at least one item identifier is rendered by the media player device. The media player device, the wireless handheld remote control, and the remote playlist source are all separate devices.

Abstract: A data loss prevention (DLP) system provides a policy-based mechanism for managing how data is discovered and classified on an endpoint workstation, file server or other device within an enterprise. The technique described herein works in an automated manner by analyzing file system activity as one or more endpoint applications interact with a file system to build a statistical model of which areas of the file system are (or will be deemed to be) active or highly active. Using this information, scanning to those areas by the DLP software is then prioritized appropriately to focus compute resources on scanning and classifying preferably only those files and folders that are necessary to be scanned, i.e., the file system portions in which the user is applying the majority of his or her activity. As a result, the technique limits scanning to only those areas that have meaningful activity (thereby conserving compute resources with respect to files or folders that have not changed), improving scanning efficiency.

Abstract: A method and systems for gathering information regarding usage of a resource from at least one of a plurality of measuring nodes operatively coupled to a controller, wherein the measuring node includes at least one sensor and a node processor operatively coupled to the sensor, and the controller includes a controller processor. The method includes predicting an estimated resource usage value associated with the at least one sensor with the node processor and separately with the controller each using a predictor algorithm and dataset. The method further includes measuring resource usage to which the estimated resource usage value applies with the sensor and calculating a difference between the estimated resource usage value and the measured resource usage with the node processor. If the difference falls outside of a bound the measured resource usage is communicated to the controller.

Abstract: An information processing method for supporting data setting include: extracting a first feature value for each of plural parameters from first data that is data after at least one parameter value, which is included in second data that includes, for each of plural setting targets, each parameter value for each of the plural parameters, was changed; and extracting a parameter that is a candidate of an erroneously changed parameter based on a difference between a second feature value that is extracted, for each of the plural parameters, from the second data and a corresponding first feature value.

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

Abstract: A user device determines a reading speed value for each of a plurality of measurable units of an electronic publication. The user device adds each reading speed value into one of a plurality of data sets or one of a plurality of outlier sets. The user device calculates the average reading speed of the user based on one or more of the plurality of data sets.

Abstract: Embodiments of the apparatus for modifying packet headers relate to programmable modifications of packets by applying commands to generalized protocol headers. Each protocol header of incoming packets is represented in a generic format specific to that protocol to enable modifications to packet headers. Missing fields from a protocol header are detected, and the protocol header is expanded to a maximum size such that the protocol header contains all possible fields of that protocol, including the missing fields. Each of the fields has the same offset irrespective of which variation of the protocol the protocol header corresponds to. Modification uses a set of commands that is applied to expanded protocol headers. All of the commands are thus generic as these commands are independent of incoming headers (e.g., size and protocol).

Abstract: A system and method for enabling the interchange of enterprise data through an open platform is disclosed. This open platform can be based on a standardized interface that enables parties to easily connect to and use the network. Services operating as senders, recipients, and in-transit parties can therefore leverage a framework that overlays a public network.

Abstract: One or more processors generate subsets of cluster feature (CF)-trees, which represent respective sets of local data as leaf entries. One or more processors collect variables that were used to generate the CF-trees included in the subsets. One or more processors generate respective approximate clustering solutions for the subsets by applying hierarchical agglomerative clustering to the collected variables and leaf entries of the plurality of CF-trees. One or more processors select candidate sets of variables with maximal goodness that are locally optimal for respective subsets based on the approximate clustering solutions. One or more processors select a set of variables, which produce an overall clustering solution, from the candidate sets of variables.

Abstract: A method for event correlation includes capturing events and arranging the events sequentially in at least one dimension. An event correlator implemented by a computational device convolves a kernel density function with each of the events to produce a convolved function for each event. Co-occurrences between events are found by calculating overlap between convolved functions.

Abstract: The anomaly diagnosis system includes the state measure calculator acquiring sensor data from sensors in a machine facility as time series data; an approximation formula calculator calculating a state measure being an index indicating a state of the machine facility, such as anomaly and a performance by a statistical method in which the time series data is used as learned data; and a state measure estimating unit estimating the state measures until future time using the approximation formula. Whenever the latest time series data is acquired, the reference period in which the time series data corresponding to the state measure referred to calculate the approximation formula by the reference period setting unit, is successively extended by addition of time when the latest time series data is acquired. The approximation formula calculator calculates the approximation formula using the state measure of the time series data acquired in the reference period.

Abstract: One or more processors generate subsets of cluster feature (CF)-trees, which represent respective sets of local data as leaf entries. One or more processors collect variables that were used to generate the CF-trees included in the subsets. One or more processors generate respective approximate clustering solutions for the subsets by applying hierarchical agglomerative clustering to the collected variables and leaf entries of the plurality of CF-trees. One or more processors select candidate sets of variables with maximal goodness that are locally optimal for respective subsets based on the approximate clustering solutions. One or more processors select a set of variables, which produce an overall clustering solution, from the candidate sets of variables.

Abstract: A quality inspection and analytics system may include a quality inspection module to receive the information for inspection lots and display the information for the inspection lots simultaneously in a scrollable screen via a user interface. The information for the inspection lots may include inspection metrics, expected values for the inspection metrics and measured values for the inspection metrics. The quality inspection module may receive a usage decision and store the usage decision. Also, the system may include a quality analytics module to execute causal analysis of rejected inspection lots based on the inspection lot information.

Abstract: A method of tracking motion of at least one object of a group of moving objects using hyperspectral imaging includes, among other things, obtaining a series of hyperspectral image frames; comparing each frame in the series to a template to determine changes in the image between frames; identifying a group of pixels in each frame associated with the changes; identifying changes as motion of the moving objects; correlating the pixel groups frame to frame to spatially determine at least one parameter of the motion of the objects; and correlating the pixel groups with a spectral reflectance profile associated with the at least one object wherein the track of the at least one object is distinguishable from the tracks of other moving objects.

Abstract: A method of identifying a set of parameters representative of a data set is provided. An eigen decomposition of a covariance matrix is calculated to form a decomposed matrix and an eigenvalue vector. The covariance matrix is calculated for a matrix of data including a plurality of data values for each of a plurality of parameters. The decomposed matrix includes a number of eigenvectors equal to a number of the plurality of parameters with each eigenvector including a coefficient for each parameter. The eigenvalue vector includes an eigenvalue defined for each eigenvector. A first matrix is created by rank ordering the coefficient within each parameter of the plurality of parameters for each of the plurality of parameters. A score is determined for each parameter using the created first matrix and the eigenvalue vector. A parameter set is identified based on the determined score for each parameter.

Abstract: In a computing environment, common attributes of one or more computing resources are identified for which a predicted probability of an event associated with the one or more computing resources is to be determined. A first predicted probability of the event based on data associated with actual occurrences of the events is calculated. A second predicted probability of the event is calculated based on updated data associated with the event.

Abstract: Vehicle systems and methods can include a traction battery and a controller to implement a state estimator configured to output battery state based on internal resistance of the traction battery and a system dynamics estimation of the traction battery using discrete battery measurements of voltage and internal resistance, and operate the traction battery according to output of the state estimator. For example, the controller can identify a system dynamics model of the traction battery using a battery input current profile and a battery output voltage profile measured within a predefined time period, transform the identified system dynamics model to a state-space model having a diagonal system matrix consisting of system Eigenvalues through the Eigendecomposition, estimate battery current limits and available power limits from the transformed system dynamics model, and operate the traction battery according to system dynamics model identified using estimated battery current limits and available power limits.

Abstract: Disclosed is a cluster analysis supporting system, with respect to providing a cluster analysis function, including a cluster analysis service apparatus configured to request a distributed processing service apparatus to perform a k-means clustering based on k values within a predetermined range and a preset iteration frequency until a predefined converge condition is satisfied, and if center values of the k values are calculated from the distributed processing service apparatus, select an optimum center value among the center values, and control calculation and application of an optimum k value through an index calculation with respect to applying clustered indexes assigned based on the selected optimum center value to data, and the distributed processing service apparatus configured to perform the k-means clustering based on the k values and the preset iteration frequency provided from the cluster analysis service apparatus upon the request by the cluster analysis service apparatus.

Abstract: In general, embodiments of present invention provide an approach for calibrating a cloud computing environment. Specifically, embodiments of the present invention provide an empirical approach for obtaining end-to-end performance characteristics for workloads in the cloud computing environment (hereinafter the “environment”). In a typical embodiment, different combinations of cloud server(s) and cloud storage unit(s) are determined. Then, a virtual machine is deployed to one or more of the servers within the cloud computing environment. The virtual machine is used to generate a desired workload on a set of servers within the environment. Thereafter, performance measurements for each of the different combinations under the desired workload will be taken. Among other things, the performance measurements indicate a connection quality between the set of servers and the set of storage units, and are used in calibrating the cloud computing environment to determine future workload placement.

Abstract: Embodiments of the present invention provide a method and a device for decoding Polar codes. A reliable subset is extracted from an information bit set of the Polar codes, where reliability of information bits in the reliable subset is higher than reliability of other information bits. The method includes: obtaining a probability value or an LLR of a current decoding bit of the Polar codes; when the current decoding bit belongs to the reliable subset, performing judgment according to the probability value or the LLR of the current decoding bit to determine a decoding value of the current decoding bit, keeping the number of decoding paths of the Polar codes unchanged, and modifying probability values of all the decoding paths by using the probability value or the LLR of the current decoding bit.

Abstract: A computerized clustering method. The method comprises receiving a spatial point dataset comprising a plurality of spatial points in a space, heuristically calculating, using a processor, a plurality of ?-shape based segmentations such that each of the plurality of ?-shape based segmentations defines a plurality of polygonal areas that cluster the plurality of spatial points in a plurality of clusters which collectively bounds the plurality of spatial points, presenting to an operator in each sequential iteration of a plurality of sequential iterations another of the plurality of ?-shape based segmentations, and selecting by the operator one or more of the plurality of ?-shape based segmentations.

Abstract: Systems and methods are provided of evaluating content for bias. The biases of participants, content, and/or sources are considered. Bias ratings are calculated for participants, content, and/or sources and affect one another. A user interface is provided for content, such as news media content showing a bias rating for the content.

Abstract: The present invention relates to a method which allows for an automatic substance identification on the basis of an NMR spectrum. In the scope of the method, determining a multitude of integral ratio values, in each case from at least two integral values of the NMR spectrum, takes place, wherein each integral ratio value specifies the ratio of the height and/or area of the underlying spectral values, and determining a multitude of distance values, in each case from at least two position values of the NMR spectrum, takes place, wherein each distance value specifies the spectral distance between the underlying spectral values. The integral ratio values and the distance values are then used for substance identification.

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

Abstract: Methods, software, products and systems used to support decision making in complex multidimensional problem environments. Methods, software, products and systems to prioritize solutions for selection based upon selection criteria and available data regarding the possible solutions. The methods achieve a robust approach to determine the sensitivity of a selection to a multi-parameter profile of selection criteria and the importance of such criteria.

Abstract: A method, system, computer program product and computer readable media for matching using degree distribution information are disclosed. An embodiment of the method can include performing b-matching on a graph data structure expanded using degree distribution information in order to identify neighbors of a selected input node. The b-matching can be performed using belief propagation. The belief propagation method is adapted to use a compressed message update rule and to be suitable for use with distributed processing systems. An embodiment can also include enhancing a matching result by applying degree distribution information to a first matching result to generate a second matching result. Embodiments for online advertisement/search term matching, product recommendation, dating service and social network matching, auction buyer/seller matching and resource allocation, among other, are disclosed.

Abstract: A method for identifying data exceptions in a process includes: receiving an array of data from a data historian comprising filtered data from the process including one or more dependent variables and one or more independent variables; defining, by a microprocessor, a plurality of time slices or bins within the array of filtered data with a predetermined time period; identifying, by a microprocessor, all variables outside of limits that are continuously updated, based only on data when the process is running; and identifying, by a microprocessor, a date of an exception.

Abstract: Displaying communities associated with personalized data provides a user with access to relevant communities based on the user's activity with an electronic catalog. The communities include content which may be manipulated by user activity or non-user activity. The communities may facilitate user discussion or viewing of information related to the user's interests. The communities may be associated with elements associated with user interaction and/or based off recommended elements or categories associated with the user. Communities may be ranked or scored to improve the relevancy of the community for the user. Communities may be displayed with, for example, a personalized page for the user that may include other user recommendations, or the communities may be associated with other personalized pages within a website, among other possibilities.

Abstract: Methods and arrangements for storing and retrieving nested structures. A nested structure is obtained. There are created slices containing arbitrary sub-structures of the nested structure. The content of slices is stored in one or more columns of a column-oriented data store. At least one access plan for accessing slices in the data store is developed, to be used when a projection query is received. The access plan is executed to construct a nested structure that answers the projection query. Other variants and embodiments are broadly contemplated herein.

Abstract: A technique for calculating the angle from an auxiliary dot sequence indicating the track of a pattern and for performing pattern measurement is provided, thereby enabling achievement of high-accuracy pattern measurement with reduced influence of the roughness of pattern edges.

Abstract: In one embodiment, one or more processor-readable media storing code representing instructions that when executed by one or more processors cause the one or more processors to receive a set of parameter values defining a boundary within a data space associated with a dataset. The dataset can represent signaling related to a test substance. A first metric can be defined based on a first portion of the dataset associated with a first region defined by the boundary. A second metric can be defined based on a second portion of the dataset associated with a second region defined by the boundary after the boundary is modified. The second region can be different than the first region.

Abstract: A computer program product includes a tangible storage medium readable by a processing circuit and on which instructions are stored for execution by the processing circuit for performing a method. The method includes, upon receiving utility consumption data of a group of elements, defining clusters of elements by like geography and like utility consumption, evaluating a significance of each cluster by comparing an average utility consumption within the cluster with utility consumption of elements neighboring the cluster and determining from a result of the evaluating which clusters exhibit significant differences in utility consumption from the neighboring elements and defining those clusters as regional outliers.

Abstract: The present disclosure related to acquisition of color calibration charts. In at least some examples herein, an image of a calibration color chart is processed. A lighting condition of the color calibration chart may be automatically determined.

Abstract: Methods and devices for transmission of communications during a silence interval are described. A base station (BS) provides timing data to an access terminal (AT) and AT uses timing data to synchronize with BS to carry our silence and non-silence intervals for an RF air interface. AT attempts to initiate communications by transmitting an access probe (AP) to BS during a non-silence interval. Other ATs may transmit communications to BS during non-silence interval. If BS acknowledges AP during non-silence interval, AT does not transmit during a subsequent silence interval. If AP was for an emergency communication and BS does not acknowledge AP sent during non-silence interval, AT transmits another AP during the subsequent silence interval to initiate emergency communication. If AP was not for emergency communication, AT does not transmit AP during the subsequent silence interval. The other ATs do not transmit communications to BS during the subsequent silence interval.

Abstract: Methods for analyzing and rendering business intelligence data allow for efficient scalability as datasets grow in size. Human intervention is minimized by augmented decision making ability in selecting what aspects of large datasets should be focused on to drive key business outcomes. Variable value combinations that are predominant drivers of key observations are automatically determined from several competing variable value combinations. The identified variable value combinations can then be then used to predict future trends underlying the business intelligence data. In another embodiment, an observed outcome is decomposed into multiple contributing drivers and the impact of each of the contributing drivers can be analyzed and numerically quantified—as a static snapshot or as a time-varying evolution.

Abstract: Methods and apparatuses are provided for storing graph data within a column-oriented data store. Graph data including vertex data describing one or more vertices in the graph and edge data describing one or more edges within the graph may be received. One or more vertex rows within the column-oriented data store may be assigned, whereby each vertex row of the one or more vertex rows is assigned to one vertex of the one or more vertices. One or more edge rows within the column-oriented data store may also be assigned, whereby each edge row of the one or more edge rows is assigned to one edge of the one or more edges. At least one vertex row and at least one edge row may be populated based on the graph data.

Abstract: Regime change in streaming data is detected. The streaming data is sent to a plurality of modules. Each module in the plurality of modules produces an association measure. The association measure is a measure of similarity between the streaming data and regime data associated with the module producing the association measure. A regime change in the streaming data is detected based on values of the association measures from the plurality of modules.

Abstract: In one embodiment, the present invention includes a method for determining if a core of a multicore processor is in a low power state, and if so, estimating a temperature of the core and storing the estimated temperature in a thermal storage area for the first core. By use of this estimated temperature, an appropriate voltage at which to operate the core when it exits the low power state can be determined. Other embodiments are described and claimed.

Abstract: A traffic prediction component may automatically generate predicted traffic profiles for web sites based on tags that characterize the sites. An initial set of tags can be selected for a web site based on a set of predefined rules. An initial traffic profile may be selected based on the initial set of tags. The predicted profile of user traffic is then generated based on the initial set of tags and on the initial traffic profile.

Abstract: An information processing apparatus for processing information generated by an exposure apparatus which exposes a substrate to radiant energy, comprises an information collecting unit configured to collect first apparatus information obtained by the exposure apparatus via an operation thereof with respect to each of a plurality of first regions which form a first array defined on the substrate, a converting unit configured to convert at least a part of the first apparatus information collected with respect to each of the plurality of first regions by the information collecting unit into second apparatus information with respect to each of a plurality of second regions which form a second array, a statistical processing unit configured to statistically process the second apparatus information, and an analyzing unit configured to analyze the statistical processing result obtained by the statistical processing unit.

Abstract: Features are disclosed for caching network resources. A system determines whether a resource which does not contain an indication in its associated header that it is cacheable may nevertheless be cached. The determination may be based on observations of a number of requests for the resource over time and from a number of different requesting clients. In response to determining that the resource is cacheable, the system may cache the resource, and in some cases modify the cache control header of resource to facilitate caching. The system may insert fields into the header or otherwise modify the header so that the resource may be cached at a network computing provider, at a requesting client device, or at some other shared or private cache.

Abstract: A radiation detector device is described comprising a detection module, a processing module, and a display module, wherein the detection module includes a detector adapted to detect incident radiation in spectroscopically resolved manner in plural separate energy bands; the processing module is adapted to process the spectroscopically resolved data numerically and thereby to produce at least a first data item indicative of a measure of radiation incident at the detector and a second data item indicative of a statistical certainty applicable to the first data item; the display module is adapted to produce a display representative of both the first data item and the second data item. A radiation detection method, a kit of parts for implementing the same for example in combination with a suitable programmable device, and associated concepts, are also described.

Abstract: In a process plant, a first series of measurements from a coupling interface are received. The first series of measurements are stored. A second series of measurements from a coupling interface are received. The second series of measurements. The first series and second series of measurements are compared. An indication of loss of clamping force is generated if the first series of measurements deviates from the second series of measurements.

Abstract: Embodiments for providing Doppler sounds are disclosed. In one embodiment, provided is an ultrasound system which may include: an ultrasound data acquiring unit configured to transmit ultrasound signals to a target object and receive ultrasound echo signals reflected therefrom, to acquire a plurality of ultrasound data associated with the target object, each of which having a synchronization (Sync) number uniquely assigned thereto; a storing unit to store the plurality of ultrasound data therein; an user input unit configured to allow a user to input a user instruction; and a processing unit coupled to the ultrasound data acquiring unit, the storing unit and the user input unit and configured to form a Doppler mode image having the Sync number based on the plurality of ultrasound data, the processing unit being further configured to extract ultrasound data with a Sync number corresponding to the user instruction from the storing unit, thereby forming the Doppler sound based on the extracted ultrasound data.