266 results about "Reference dataset" patented technology

The present disclosure relates to performing similarity metric analysis and data enrichment using knowledge sources. A data enrichment service can compare an input data set to reference data sets stored in a knowledge source to identify similarly related data. A similarity metric can be calculated corresponding to the semantic similarity of two or more datasets. The similarity metric can be used to identify datasets based on their metadata attributes and data values enabling easier indexing and high performance retrieval of data values. A input data set can labeled with a category based on the data set having the best match with the input data set. The similarity of an input data set with a data set provided by a knowledge source can be used to query a knowledge source to obtain additional information about the data set. The additional information can be used to provide recommendations to the user.

Systems and methods for detecting instances of click fraud are disclosed. Click fraud occurs when, for example, a user, malware, bot, or the like, clicks on a pay per click advertisement (e.g., hyperlink), a paid search listing, or the like without a good faith interest in the underlying subject of the hyperlink. Such fraudulent clicks can be expensive for an advertising sponsor. Statistical information, such as ratios of unpaid clicks to pay per clicks, are extracted from an event database. The statistical information of global data is used as a reference data set to compare to similar statistical information for a local data set under analysis. In one embodiment, when the statistical data sets match relatively well, no click fraud is determined to have occurred, and when the statistical data sets do not match relatively well, click fraud is determined to have occurred.

Systems and methods for detecting instances of click fraud are disclosed. Click fraud occurs when, for example, a user, malware, bot, or the like, clicks on a pay per click advertisement (e.g., hyperlink), a paid search listing, or the like without a good faith interest in the underlying subject of the hyperlink. Such fraudulent clicks can be expensive for an advertising sponsor. Statistical information, such as ratios of unpaid clicks to pay per clicks, are extracted from an event database. The statistical information of global data is used as a reference data set to compare to similar statistical information for a local data set under analysis. In one embodiment, when the statistical data sets match relatively well, no click fraud is determined to have occurred, and when the statistical data sets do not match relatively well, click fraud is determined to have occurred.

The present invention relates to methods of assessing disease susceptibility associated with dietary and lifestyle risk factors. The invention provides for analysis of alleles at loci of genes associated with lifestyle risk factors, and the disease susceptibility profile of an individual is determined by reference to datasets which further match the risk factor with lifestyle recommendations in order to produce a personalized lifestyle advice plan.

A system for maintaining master reference data for entities is disclosed. The system includes multiple reference data sets at multiple different data storages. A reference data set for a particular entity uniquely identifies the particular entity. The system also includes a first master reference data set at a first data storage that is at least as reliable as a second reference data set at a second data storage. In some embodiments, the first data storage can be updated through real-time process or an offline process (e.g., a batch process). The first master reference data set includes at least one data record, and content metadata regarding the data record. In some embodiments, content metadata comprises lineage data that includes each preceding value that was contained in the data record. In some of these embodiments, lineage includes other factors that affected the present and previous values contained in the data record.

Some embodiments of the invention provide a user interface that allows a user to specify one or more attributes that should be included in a master reference data set, and identify which of these attributes should serve as enterprise specified identifiers that can be used to identify the particular master reference data set in an enterprise data storage. Some embodiments of the invention provide a method that allows the master reference data set to be accessed and updated in the data storage through the use of the enterprise specified identifiers.

The invention discloses a traveler home-work location identification and trip chain depicting method based on mobile phone signaling data, and belongs to the field of analysis of transportation planning data. The method comprises the steps of: triggering an information database by communication network records provided by a mobile network operator; after cleaning, integrating and calculating by using a position conversion algorithm, converting the data of the operator into a reference dataset; aiming at each user, converting the dataset into a mobile time-space trajectory, identifying stopover points, high frequency points and long time points in the mobile time-space trajectory, and on the basis, identifying home-work locations, activity target locations and insignificant stopover points; and finally depicting a closed trip chain of the user by being combined with the mobile time-space trajectory. The traveler home-work location identification and trip chain depicting method based on mobile phone signaling data has the advantages of being conductive to reducing trip survey costs of residents, obtaining more precision trip characteristics of crowds with different identities, and thereby allowing the traffic demand forecasting to be more accurate; and 2, being conductive to improving scientificity of planning layout construction, such as transport corridors, public transit networks and traffic facilities, in urban traffic planning.

Embodiments of the present invention provide systems and methods of managing hierarchical reference data. According to one embodiment of the present invention, a hierarchical data management program can maintain a master set of reference data corresponding to the reference data being managed. From the master set of reference data, the hierarchy management program can instantiate centralized hierarchies, validate changes to the centralized hierarchies and enforce business rules with respect to the centralized hierarchies. The hierarchy management program can publish the centralized hierarchies to subscribing systems for use by the subscribing systems in managing data of interest.

An image guidance system for tracking a surgical instrument within the oral cavity. The image guidance system includes a plurality of cameras adapted to be located within the oral cavity to provide intraoral images of optically visible patterns within oral cavity. A processing system receives and processes the intraoral images to recognize patterns and triangulate the locations and orientations of each camera. The processing system uses a reference dataset which defines a reference coordinate system based on alignment to a portion of the oral anatomy. The processing system determines the location and orientation of the tracked instrument based on the reference dataset. In an embodiment, the system includes an oral fixture that is removably attachable to teeth in a patient and is configured to hold one of the cameras.

A method and system unifying existing data of a target industry from existing sources of the data by designing a data model by applying varying data integrity methods to define characteristics, features and / or functions of items in the target industry as data elements, electronically reading, parsing and transforming data from existing electronic data sources of the target industry to input to the data model, designing user interfaces to the data model, the user interfaces corresponding to user segments of the target industry, and dynamically maintaining normalization of the data model according to the varying data integrity methods during any type of access to the data model by the user segments. A data entry access to the data model comprises dynamically constructing search indexes, each search index defined as a unique data field and a text searchable concatenation of other fields' data in any given data table of the data model.

A system and method for analyzing and visualizing a local feature of interest includes access of a clinical image dataset comprising clinical image data acquired from a patient, identification of a region of interest (ROI) from the clinical image dataset, and extraction of at least one local feature corresponding to the ROI. The system and method also include definition of a local feature dataset comprising data representing at least one local feature, access of a pre-computed reference dataset comprising image data representing an expected value of the at least one identified derived characteristic of interest, and comparison of the characteristic dataset to the pre-computed reference dataset. Further, the system and method include calculation of at least one deviation metric from the comparison and output of a visualization of the at least one deviation metric.

The invention provides a 3D human face quick identity authentication method and apparatus. The method comprises the following steps of S1, obtaining a depth image and a two-dimensional image comprising a current user face; S2, obtaining the depth image and the two-dimensional image of the current user face; S3, performing identity authentication primary screening on the current user face to obtaincandidate reference data sets; S4, extracting feature information of the current user face, and determining a pose orientation vector of the current user face; and S5, performing identity authentication. The functions of input, detection, identification and the like of a face identity are realized by utilizing the depth image and the two-dimensional image, and the primary screening of the reference data sets is performed in combination with the depth image and the two-dimensional image, so that the identification efficiency is improved, the influence of an external complex environment is avoided, and absolute front face of a user is not required.

The present disclosure relates to performing similarity metric analysis and data enrichment using knowledge sources. A data enrichment service can compare an input data set to reference data sets stored in a knowledge source to identify similarly related data. A similarity metric can be calculated corresponding to the semantic similarity of two or more datasets. The similarity metric can be used to identify datasets based on their metadata attributes and data values enabling easier indexing and high performance retrieval of data values. A input data set can labeled with a category based on the data set having the best match with the input data set. The similarity of an input data set with a data set provided by a knowledge source can be used to query a knowledge source to obtain additional information about the data set. The additional information can be used to provide recommendations to the user.

A phase-modulating apparatus includes a spatial light modulator, an input value setting unit, a plurality of sets of reference data, a converting unit, and a driving unit. The input value setting unit sets an input value for each pixel. Each set of reference data corresponds to at least one pixel. The converting unit converts an input value inputted for each pixel to a control value by referencing the corresponding set of reference data. The driving unit converts the control value to a voltage value. The driving unit drives each pixel with a drive voltage corresponding to the voltage value. Each set of reference data correlates a plurality of first values from which input values are taken, and a plurality of second values from which control values are taken to ensure that the relationship between the plurality of first values and phase modulation amounts attained by the corresponding at least one pixel is a prescribed linear relationship.

A system, method, and computer program product for predicting operation for physical systems with distinct operating modes uses observable qualities of the system to predict other qualities of the system. Independent variables including temperature or production volume are observed to determine the degree to which a dependent modeled variable, including energy load, is influenced. Partition variables representing operating conditions of the dependent variables are defined as discrete values. Reference datasets with coincident values of the dependent variable, independent variable, and partition variables are received, and models are created for each discrete value of the partition variables in the reference dataset. Each model is populated with the values of the dependent variable and the independent variable. The dependent variable is modeled as a function of the independent variable. Model accuracy is evaluated by processing new input data to generate output data that includes values of the coincident dependent variable, the independent variable, and the partition variable from the input dataset.

A method and system for validating data. Warehouse data is generated by transforming source data via an ETL transformation model. A data cube is generated by transforming the warehouse data via an OLAP transformation model. A report dataset (MDS1) is generated from the data cube. A reference dataset (S) is generated from the source data. Whether MDS1 matches S is determined. If MDS1 doesn't match S, then an OLAP inverse transformation is performed on MDS1 to generate an OLAP dataset (MDS2) and whether MDS2 matches S is determined. If MDS1 doesn't match S and MDS2 does not match S, then an ETF inverse transformation is performed on MDS2 to generate an ETL dataset (MDS3) and whether MDS2 matches MDS1 and whether MDS3 matches S is determined. If MDS1 doesn't match S and MDS2 does not match S and MDS3 does not match S, then whether MDS3 matches MDS2 is determined.

Briefly described, one embodiment determines pose of an object of interest at a run time by capturing a first image of a first structured light pattern projected onto a first local surface of the object of interest; determining a first run-time data set from the captured first image, wherein the first run-time data set corresponds to information determined from the first structured light pattern projected onto the first local surface; comparing the determined first run-time data set and a corresponding first reference data set, the first reference data set corresponding to an ideal pose of the first local surface on an ideally posed reference object; and determining at least one first degree of constraint that defines a first partial pose of the first local surface, the at least one first degree of constraint based upon the comparison of the first run-time data set with the corresponding first reference data set.

A method for monitoring execution of a sequence of data processing program instructions in a security module associated to a multimedia unit connected to a managing center supplying control messages authorizing access to broadcast data streams. The security module comprises a processor for executing the instructions, a memory, and a monitoring module for analyzing the instructions before execution by the processor. The managing center comprises a security module emulator generating reference data sets by executing a sequence of instructions induced by data of a given control message in the program. The reference data sets are appended to control messages sent to the security module. The monitoring module analyzes a sequence of program instructions for determining a check data set which is compared with a reference data set received from the control messages. When the reference and check data sets match, the program continues executing. Otherwise, further control message processing stops.

A system and method for locating and identifying unknown samples. A targeting mode may be utilized to scan regions of interest for potential unknown materials. This targeting mode may interrogate regions of interest using SWIR and / or fluorescence spectroscopic and imaging techniques. Unknown samples detected in regions of interest may be further interrogated using a combination of Raman and LIBS techniques to identify the unknown samples. Structured illumination may be used to interrogate an unknown sample. Data sets generated during interrogation may be compared to a reference database comprising a plurality of reference data sets, each associated with a known material. The system and method may be used to identify a variety of materials including: biological, chemical, explosive, hazardous, concealment, and non-hazardous materials.

A system, method, and computer program product for predicting operation for physical systems with distinct operating modes uses observable qualities of the system to predict other qualities of the system. Independent variables including temperature or production volume are observed to determine the degree to which a dependent modeled variable, including energy load, is influenced. Partition variables representing operating conditions of the dependent variables are defined as discrete values. Reference datasets with coincident values of the dependent variable, independent variable, and partition variables are received, and models are created for each discrete value of the partition variables in the reference dataset. Each model is populated with the values of the dependent variable and the independent variable. The dependent variable is modeled as a function of the independent variable. Model accuracy is evaluated by processing new input data to generate output data that includes values of the coincident dependent variable, the independent variable, and the partition variable from the input dataset.

A system for registration and control of the vehicle fuel consumption, where registration of a first data set that at least includes the volume or weight of fuel consumption and a vehicle identification data are stored in a server which is connected to a communication device for receiving at least a number of first data sets, calculates fuel consumption of each vehicle, the calculation result being compared with a reference data set stored in the served. The server communicates with the owner of a vehicle if the fuel consumption deviates from the stored data set in the server. Fuel consumption data of one or more vehicles is registered automatically whereby the fuel consumption is calculated and several different statistics about fuel consumption obtained from a database. The statistic information for each driver indicates how his / her fuel consumption compares with similar vehicles operating in the same area.

The method comprises operating an engine and collecting a real-time accelerometer signal from an accelerometer sensor. The real-time accelerometer signal is digitized and filtered to isolate data in a frequency range associated with combustion to produce a filtered signal data set. The filtered signal data set is integrated to produce an integrated signal data set, and misfire is detected by comparing the integrated signal data set with a predetermined reference data set associated with the same operating point. The apparatus is a control system for an engine that comprises an accelerometer sensor mounted to the engine; a look-up table in which is stored predetermined reference data sets, in association with predetermined operating conditions; and an electronic controller programmed to carry out the foregoing method.

Authenticating an authentic article having an authentication mark. Acquiring a set of spectral images of the authentication mark, for forming a set of single-authentication mark spectral fingerprint data (FIG. 1). Identifying at least one spectral shift in the set of single-authentication mark spectral fingerprint data, for forming an intra-authentication mark physicochemical region group including sub-sets of intra-authentication mark spectral fingerprint pattern data, such that data elements in each sub-set are shifted relative to corresponding data elements in remaining sub-sets in the same intra-authentication mark physicochemical region group (FIG. 2). Forming a set of intra-authentication mark physicochemical properties and characteristics data relating to the imaged authentication mark, by performing pattern recognition and classification analysis on the intra-authentication mark physicochemical region group (FIG. 3). Comparing and matching elements in the set of intra-authentication mark physicochemical properties and characteristics data to corresponding reference elements in reference set of data, thereby authenticating the authentic article.

The present invention relates to a method of processing a data record for finding a counterpart in a reference data set. In the data record a value of a data field is determined, where the data field represents an identifier. At least one synonym candidate for the value of the data field is determined from a set of predetermined identifier values. It is determined if a synonym candidate and the value of the data field fulfill a predetermined synonym acceptance criterion, and if the predetermined synonym acceptance criterion is fulfilled, the value of the data field and the synonym candidate are associated as synonyms. Thereafter a search for a counterpart for the data record is conducted by comparing to entries of the reference data set the value of the data field and / or a synonym associated with the value of the data field.

Described are computer-based methods and apparatuses, including computer program products, for removing redundant data from a storage system. In one example, a data delineation process delineates data targeted for de-duplication into regions using a plurality of markers. The de-duplication system determines which of these regions should be subject to further de-duplication processing by comparing metadata representing the regions to metadata representing regions of a reference data set. The de-duplication system identifies an area of data that incorporates the regions that should be subject to further de-duplication processing and de-duplicates this area with reference to a corresponding area within the reference data set.

Described are computer-based methods and apparatuses, including computer program products, for removing redundant data from a storage system. In one example, a data delineation process delineates data targeted for de-duplication into regions using a plurality of markers. The de-duplication system determines which of these regions should be subject to further de-duplication processing by comparing metadata representing the regions to metadata representing regions of a reference data set. The de-duplication system identifies an area of data that incorporates the regions that should be subject to further de-duplication processing and de-duplicates this area with reference to a corresponding area within the reference data set.

The method comprises operating an engine and collecting a real-time accelerometer signal from an accelerometer sensor. The real-time accelerometer signal is digitized and filtered to isolate data in a frequency range associated with combustion to produce a filtered signal data set. The filtered signal data set is integrated to produce an integrated signal data set, and misfire is detected by comparing the integrated signal data set with a predetermined reference data set associated with the same operating point. The apparatus is a control system for an engine that comprises an accelerometer sensor mounted to the engine; a look-up table in which is stored predetermined reference data sets, in association with predetermined operating conditions; and an electronic controller programmed to carry out the foregoing method.

In a method and magnetic resonance (MR) for correction of movement in the acquisition of MR images of an examination region, wherein the movement that occurs between the acquisition of data of spatially different slices of the examination region is taken into account, data from the examination region are acquired in multiple slices that are acquired in at least two groups, with slices of a second group arranged at least partially between slices of the first group, such that at least one slice of the second group lies between slices of the first group. Correction for movement of the examination region that occurred between the acquisition of data of the slices of the first group and the acquisition of data of an intervening slice of the second group is done by reconstructing a reference data set for the intervening slice from acquired slice data of the first group for the movement correction. This reference data set is compared with data of the acquisition of the MR image of the intervening slice in order to determine and correct the occurred movement.

A system and method for locating and identifying unknown samples. A targeting mode may be utilized to scan regions of interest for potential unknown materials. This targeting mode may interrogate regions of interest using SWIR and / or fluorescence spectroscopic and imaging techniques. Unknown samples detected in regions of interest may be further interrogated using a combination of Raman and LIBS techniques to identify the unknown samples. Structured illumination may be used to interrogate an unknown sample. Data sets generated during interrogation may be compared to a reference database comprising a plurality of reference data sets, each associated with a known material. The system and method may be used to identify a variety of materials including: biological, chemical, explosive, hazardous, concealment, and non-hazardous materials.