92 results about "Pattern correlation" patented technology

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.

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.

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.

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.

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.

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.

Assistance in performing an action for a detected event for a monitoring target resource whose connection is not an always-on connection to perform an appropriate action as soon as possible in response to occurrence of a failure. The assistance device stores, in association with an occurrence pattern of an event, information related to plural tasks for determining whether a predetermined condition is fulfilled, and an action to be performed by a corresponding device. Then, the assistance device calculates an index value for determining the level of probability of the occurrence pattern of the event, determines whether the calculated index value is larger than a predetermined value, and sends, to a device to perform the action, the occurrence pattern of the event the index value of which is determined to be larger than the predetermined value, and information related to the plural tasks and the action corresponding to the occurrence pattern.

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.

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.