92 results about "Pattern correlation" patented technology

An apparatus and method for obtaining facies of geological formations for identifying mineral deposits is disclosed. Logging instruments are moved in a bore hole to produce log measurements at successive levels of the bore hole. The set of measurements at each such level of the bore hole interval is associated with reference sample points within a multidimensional space. The multidimensional scatter of sample points thus obtained is analyzed to determine a set of characteristic modes. The sample points associated with characteristic modes are grouped to identify clusters. A facies is designated for each of the clusters and a graphic representation of the succession of facies as a function of the depth is thus obtained. To identify the clusters, a "neighboring index" of each log measurement point in the data set is calculated. Next, small natural groups of points are formed based on the use of the neighboring index to determine a K-Nearest-Neighbor (KNN) attraction for each point. Independently of the natural group formation, an optimal number of clusters is calculated based on a Kernel Representative Index (KRI) and based on a user-specified resolution. Lastly, based on the data calculated from the prior steps, final clusters are formed by merging the smaller clusters.

An apparatus and method to detect a blood flow signal free from a motion artifact, and a stress test apparatus using the same, enhance data reliability of the blood flow signal by removing the motion artifact from the blood flow signal detected by photo-plethysmography. The apparatus to detect the blood flow signal includes a base pattern correlation coefficient calculating unit to determine peak points in the blood flow signal sensed from a body of an examinee using a blood flow sensing unit, and to calculate correlation coefficients of each peak point using a predetermined base pattern, and a motion artifact processing unit to determine the motion artifact using the calculated correlation coefficients and to remove the motion artifact from the blood flow signal. Thus, reliability of the blood flow signal is enhanced by effectively removing the motion artifact from the blood flow signal detected by the photo-plethysmography.

A unified context-aware content archive system allows enterprises to manage, enforce, monitor, moderate, and review business records associated with a variety of communication modalities. The system may store an information infoset derived or inferred from one or more documents representing communications according to the variety of communication modalities as interaction transcripts. An interaction transcript represents interactions between participants through the documents rather than the documents themselves allowing for derivation or inference of communication events, chronologies, and mappings to be stored in a common data structure. In one aspect, events correlation is provided between participants of communications that can be established by general time series analysis for the purposes of extracting meaningful statistics and interaction contexts and other characteristics of data. In another aspect, chronological mappings are provided of conversations between an established start and end time frame.

Memory networks and methods are provided. Machine intelligence is achieved by a plurality of linked processor units in which child modules receive input data. The input data are processed to identify patterns and / or sequences. Data regarding the observed patterns and / or sequences are passed to a parent module which may receive as inputs data from one or more child modules. the parent module examines its input data for patterns and / or sequences and then provides feedback to the child module or modules regarding the parent-level patterns that correlate with the child-level patterns. These systems and methods are extensible to large networks of interconnected processor modules.

In one embodiment, a system is provided for managing a centrally managed master repository for core enterprise reference data associated with an enterprise. A centralized master repository contains the reference data, the reference data being associated with multiple schemas, each schema including one or more data models for reference data, each data model including one or more fields. A data management services framework coupled to the repository provides services for managing the reference data in the repository. The services framework supports a master schema including a union of multiple models and associated fields in the multiple schemas. The services framework also supports a thesaurus including, for each field in the master schema, a set of synonyms each representing a mapping between the field in the master schema and a corresponding field in a particular one of the multiple schemas. The master schema and thesaurus facilitate centralized management of the reference data in the repository across multiple heterogeneous external operational systems that have different associated data models and are provided indirect access to the reference data in the repository for operational use of the reference data according to associated business workflows.

Systems, methods, and programs capture an image of a periphery of a vehicle. The systems, methods, and programs, store predetermined patterns representing conditions of road markings formed on a road surface, detect a road marking on the basis of the captured image, and compare the detected road marking to the predetermined patterns. If the detected road marking matches one of the predetermined patterns, the systems, methods, and programs execute a predetermined action associated with the matching predetermined pattern.

A system for pattern dependent equalization has an equalizer bank and a detector. The equalizer bank has a plurality of equalizers, which are each tuned to a selected data pattern. The detector may be a standard sequence detector or a modified Viterbi detector, which calculates the branch metric using a pattern dependent equalized output and a pattern-dependent target. A method of decoding data uses a pattern dependent equalizer bank. The pattern dependent equalizer bank processes a segment of a bit sequence to produce an equalized pattern-dependent output for each equalizer in parallel. The detector then detects the bit sequence using the branch metric calculation to select the smallest accumulated path metric.

In its broad aspect, the invention provides a method for analyzing relationships among patterns within a data set having a set of samples and associated attribute values defining each attribute of each said sample. The method comprises receiving at an input at least two patterns; defining a data cluster within the data set for each of said at least two patterns, each defined data cluster having samples with attribute values associated with a corresponding pattern of said at least two patterns; grouping at least some of the samples of each defined data cluster with one another to generate a resultant data cluster; and calculating a variation between the attribute values of a first set of samples and the attribute values of a second set of samples within said resultant data cluster, the attribute values of the first set of samples and the second set of samples corresponding to the same attribute.

A detection system and method may be used to detect data transmitted in a signal with data pattern dependent signal distortion. In general, a detection system and method compares samples of a received signal with stored samples of distorted signals associated with known data patterns and selects the known data patterns that correspond most closely with the samples of the received signal. The detection system and method may thus mitigate the effects of data pattern dependent signal distortion.

A pattern matching system includes, in part, a multitude of databases each configured to store and supply compressed data for matching to the received data. The system divides each data stream into a multitude of segments and optionally computes a data pattern from the data stream prior to the division into a multitude of segments. Segments of the data pattern are used to define an address for one or more memory tables. The memory tables are read such that the outputs of one or more memory tables are used to define the address of another memory table. If during any matching cycle, the data retrieved from any of the successively accessed memory tables include an identifier related to any or all previously accessed memory tables, a matched state is detected. A matched state contains information related to the memory location at which the match occurs as well as information related to the matched pattern, such as the match location in the input data stream.

A method for determining the root causes of fail patterns in integrated circuit chips is provide wherein a known integrated circuit chip layout is used to identify a plurality of potential defects and a plurality of potential fail patterns in the integrated circuit chip. Correlations between the potential defects and the potential fail patterns that result from those defects are identified. Based on this identification, the potential fail patterns are grouped by common potential defect. An actual integrated circuit chip that is manufactured in accordance with the test layout is tested for failure patterns. These failure patterns are then compared to the groupings of potential fail patterns. When a match is found, that is when a given group of fail patterns is found in the actual integrated circuit chip, then the potential defect associated with the potential fail patterns to which the actual fail patterns are matched is identified. This defect is the root cause of the failure pattern in the actual chip.

A method of correlating seismic events associated with different types of seismic transmission modes and includes calculating a shift estimate between a first set of seismic events or attributes associated with the seismic events attributable to one type of transmission mode and a second set of seismic events or attributes associated with the seismic events attributable to a different type of transmission mode using a smoothed version of at least one of the sets of seismic events or attributes associated with the seismic events, and updating the shift estimate using a less severely smoothed or unsmoothed version of the at least one set of seismic events or attributes associated with the seismic events. A related computer system and computer program products associated with the method are also described.

The invention discloses a fault mode visualization method based on a three-dimensional model of a product. The method comprises four steps of: step 1. carrying out blocked partitioning and cuboid configuration on the three-dimensional model aiming at a complex product; step 2. collecting relevant information of a fault mode, analyzing a potential fault mode and a fault reason of the complex product and component parts at certain one technical state, obtaining an harsh degree and an occurrence probability grade, and obtaining a space coordinate of a fault mode generating position relative to the origin of coordinates and design and improvement measures corresponding to the fault mode according to the position of the product in a three-dimensional coordinate; step 3. carrying out visual modeling on the fault mode information; and step 4. carrying out a method for analyzing space fault intensity. The space fault intensity is defined, members with relatively high fault intensity are determined, and thus the fault is eliminated by designing corresponding improvement measures and use compensation measures and repairing assurance resource information, and finally the effectiveness verification is implemented. The method has a good application prospect in the technical field of product design.

A method of correlating seismic events associated with different types of seismic transmission modes and includes calculating a shift estimate between a first set of seismic events or attributes associated with the seismic events attributable to one type of transmission mode and a second set of seismic events or attributes associated with the seismic events attributable to a different type of transmission mode using a smoothed version of at least one of the sets of seismic events or attributes associated with the seismic events, and updating the shift estimate using a less severely smoothed or unsmoothed version of the at least one set of seismic events or attributes associated with the seismic events. A related computer system and computer program products associated with the method are also described.

Methods, systems, and apparatuses provide dynamic creation and modification of wafer test maps. Test plans are defined for a testing session of a wafer lot. The test plan is associated with a number of seed map patterns. During a wafer lot testing session, test results are dynamically obtained and examined at run-time of a test. Moreover, the seed map patterns are overlaid on the test sites defined in the test plan. If the test result statistics are outside of defined threshold tolerance levels, then a new wafer test map is created or modified at run-time, according to corresponding seed map patterns. If seed map patterns are within the intersection of valid test sites, then seed map patterns are created at run-time.

Actual traffic conditions of a roadway segment are predicted by providing a plurality of historical roadway condition patterns of the roadway segment in a database, obtaining an electronic representation of a current roadway condition pattern of the roadway segment, identifying one or more of the historical roadway condition patterns that closely matches the current roadway condition pattern, and predicting the future actual traffic conditions of the roadway segment by using the conditions associated with the one or more identified historical patterns.

A technique to collect measurements that are adapted to a signal / scene of interest is presented. The measurements are correlations with patterns that serve as modulating waveforms. The patterns correspond respectively to rows of a sensing matrix. The method uses a sensing matrix whose rows are partitioned into blocks. Each block corresponds to a distinct feature or salient property of the scene. For each block, the method collects a number of measurements of the signal / scene based on selected rows of the block, and generates one or more associated statistics for the block based on said measurements. The statistics for the blocks are then analyzed (e.g., sorted) to determine the most important blocks. Subsequent measurements of the signal / scene may be based on rows from those most important blocks. The original measurements and / or the subsequent measurements may then be used in an algorithm to reconstruct the signal / scene.

A system and method of servicing a group of similar types of equipment that maybe installed at geographically separated locations is described. The method makes use of error messages produced by the equipment and service requests received by a servicing center. Data mining techniques are used to establish error patterns associated with specific failure modes so that future error messages may be processed to determine if an identified failure mode has occurred. This will enable the efficient dispatch of spare parts and service personnel to the location where the failure has occurred.

The present invention relates to a method for generating optimised stack code for a stack-based machine from a register-based representation of the original code. The method includes the steps of: creating a dependence graph from the representation; removing true dependencies from the dependence graph by matching portions of the dependence graph with a set of patterns; and defining stack code corresponding to the dependence graph using code generation rules associated with each pattern.

Array antenna calibration verification coupling interrogator and responder with mode-related interrogation signal having a previous calibration phase angle, producing in responder a characteristic interrogation response. Conjugate signal is generated by reversing phase of interrogation signal, producing in responder a characteristic conjugate response. Interrogation and conjugate responses sensed and combined to determine difference characteristic for responder array element. Responder difference characteristic iteratively determined for elements in antenna array representative of present calibration verification state. Present and previous calibration verification states compared, with significant variation adapting array to desired calibration verification state. Verification processor controls interrogator, responders, and signals providing built-in missile RADAR calibration verification.

A system and method of servicing a group of similar types of equipment that maybe installed at geographically separated locations is described. The method makes use of error messages produced by the equipment and service requests received by a servicing center. Data mining techniques are used to establish error patterns associated with specific failure modes so that future error messages may be processed to determine if an identified failure mode has occurred. This will enable the efficient dispatch of spare parts and service personnel to the location where the failure has occurred.

In its broad aspect, the invention provides a method for analyzing relationships among patterns within a data set having a set of samples and associated attribute values defining each attribute of each said sample. The method comprises receiving at an input at least two patterns; defining a data cluster within the data set for each of said at least two patterns, each defined data cluster having samples with attribute values associated with a corresponding pattern of said at least two patterns; grouping at least some of the samples of each defined data cluster with one another to generate a resultant data cluster; and calculating a variation between the attribute values of a first set of samples and the attribute values of a second set of samples within said resultant data cluster, the attribute values of the first set of samples and the second set of samples corresponding to the same attribute.

A detection system and method may be used to detect data transmitted in a signal with data pattern dependent signal distortion such as intersymbol interference. In general, a detection system and method compares samples of a received signal with stored samples of distorted signals associated with known data patterns and selects the known data patterns that correspond most closely with the samples of the received signal. The detection system and method may thus mitigate the effects of data pattern dependent signal distortion.

A Relative Value Unit (RVU) monitoring method and system is disclosed that includes passively monitoring network traffic; examining the monitored traffic for recognized patterns in a matching database; deriving detected RVU values from the matching recognized patterns; and updating an RVU tracking database with the detected RVU values. The matching database stores a plurality of recognized patterns and RVU values, and associates the recognized patterns and RVU values. The method can also include notifying the user of detected CPT codes and RVU values. The method can also include determining procedures requested by received medical orders; tracking fulfillment of the requested procedures; and notifying the user when requested procedures remain to be fulfilled. The method can include analyzing data associated with detected patterns to determine if it's a new or previously observed procedure. The method can simultaneously run on multiple computers; and update a common RVU tracking database.

Actual traffic conditions of a roadway segment are predicted by providing a plurality of historical roadway condition patterns of the roadway segment in a database, obtaining an electronic representation of a current roadway condition pattern of the roadway segment, identifying one or more of the historical roadway condition patterns that closely matches the current roadway condition pattern, and predicting the future actual traffic conditions of the roadway segment by using the conditions associated with the one or more identified historical patterns.