174 results about "Statistical correlation" patented technology

A method and apparatus for controlling a ventricular assist device are disclosed. The method includes the step of providing a ventricular assist device which can be defined in terms of operational parameters such as pump speed or current. Measuring at least one physiological parameter reflecting a physiological state corresponding to a patient. Correlating at least one physiological parameter measured from the patient to at least one operational parameter using an estimation method. Selecting a physiological state definable by desired values of the physiological parameters. Monitoring at least one operational parameter. Controlling input values of the operational parameter based on output from the monitoring step. The apparatus includes a pump driven by a motive drive and having an impeller. A sensor detects the value of an operational parameter of the pump. A processor provides a statistical correlation between patients physiological parameter and the operational parameter of the pump and adjusts the operational parameter to affect a predetermined optimal physiological state.

A method and apparatus for calibrating noninvasive or implantable glucose analyzers uses either alternative invasive glucose determinations or noninvasive glucose determinations for calibrating noninvasive or implantable glucose analyzers. Use of an alternative invasive or noninvasive glucose determination in the calibration allows minimization of errors due to sampling methodology, and spatial and temporal variations that are built into the calibration model. An additional embodiment uses statistical correlations between noninvasive and alternative invasive glucose determinations and traditional invasive glucose determinations to adjust noninvasive or alternative invasive glucose concentrations to traditional invasive glucose concentrations. The invention provides a means for calibrating on the basis of glucose determinations that reflect the matrix observed and the variable measured by the analyzer more closely. A glucose analyzer couples an invasive fingerstick meter to a noninvasive glucose analyzer for calibration, validation, adaptation, and safety check of the calibration model embodied in the noninvasive analyzer.

Automated video digest system and method. The system decomposes video and audio portions of video media into low-level descriptors, producing a large number of such descriptors for each video image and scene. These descriptors are optimized to be both compatible with rapid automated descriptor creation, and also to have some positive or negative statistical correlation with the viewing preferences of typical human viewers. By comparing the number of descriptors correlated with positive human viewing preferences, versus the number of descriptors correlated with negative human viewing preferences, the automated system may analyze an unknown video program and make educated guesses as to which portions of the program are likely to be most interesting to the viewer on playback. Less interesting portions may be skipped or fast-forwarded though. The method may also be optimized to individual viewers. Such methods are useful for controlling the playback of digital video recorders and other systems.

The present invention is directed to a method for determining a document's overall effectiveness or quality using a technique that employs detecting correlation between document citation rate and document presentation elements such as style and layout. A document's citation rate is the number of citations of or references to that document from other documents. This is taken as an indicator of a document's overall effectiveness. This invention employs automated means to obtain, for a sample of documents, both presentation data and citation rate data. Presentation data is obtained, for each document in the sample, by automated inspection of the document, for stylistic elements. The citation rate for each document is based on the number of citations (e.g., hyperlinks) to that document from another set of documents, the larger the set the better. The present invention then computes the statistical correlation of document citation rate versus presentation elements used, in a straightforward manner to identify correlation between the citation rate and presentation element(s).

A method and apparatus for calibrating noninvasive or implantable glucose analyzers uses either alternative invasive glucose determinations or noninvasive glucose determinations for calibrating noninvasive or implantable glucose analyzers. Use of an alternative invasive or noninvasive glucose determination in the calibration allows minimization of errors due to sampling methodology, and spatial and temporal variations that are built into the calibration model. An additional embodiment uses statistical correlations between noninvasive and alternative invasive glucose determinations and traditional invasive glucose determinations to adjust noninvasive or alternative invasive glucose concentrations to traditional invasive glucose concentrations. The invention provides a means for calibrating on the basis of glucose determinations that reflect the matrix observed and the variable measured by the analyzer more closely. A glucose analyzer couples an invasive fingerstick meter to a noninvasive glucose analyzer for calibration, validation, adaptation, and safety check of the calibration model embodied in the noninvasive analyzer.

Method and apparatus for providing a personalized self-support service to a user of an online application coupled with an online community forum. Embodiments include obtaining a plurality of questions from the online community forum and obtaining historical user data. Embodiments further include identifying one or more part-of-speech words in the plurality of questions and generating a high-dimensional vector for each question of the plurality of questions based on a frequency of the one or more part-of-speech words. Embodiments further include identifying one or more user features of the plurality of users based on the historical user data and establishing, based on the historical user data, one or more statistical correlations between user features and part-of-speech words. Embodiments further include training a predictive model based on the one or more statistical correlations. Embodiments further include using the predictive model to predict to provide one or more relevant questions to the user.

A system and a priori method of discovering dependencies between relational database column pairs and application of discoveries to query optimization is provided. For each candidate column pair remaining after simultaneously generating column pairs, pruning pairs not satisfying specified heuristic constraints, and eliminating pairs with trivial instances of correlation, a random sample of data values is collected. A candidate column pair is tested for the existence of a soft functional dependency (FD), and if a dependency is not found, statistically tested for correlation using a robust chi-squared statistic. Column pairs for which either a soft FD or a statistical correlation exists are prioritized for recommendation to a query optimizer, based on any of: strength of dependency, degree of correlation, or adjustment factor; statistics for recommended columns pairs are tracked to improve selectivity estimates. Additionally, a dependency graph representing correlations and dependencies as edges and column pairs as nodes is provided.

The timing and placement of advertising on TV, radio or other broadcast media can be automatically verified or audited by monitoring and recording channels of TV, radio or broadcast media by storing and tagging discrete portions of segments of the broadcast signals in a database. A controller, or “dispatcher” server, dispatches the files to an analysis server for performing various mathematical comparisons and statistical correlations on the audio and video signals for positively identifying one or more advertisements of interest. A report is generated, providing particulars about the airing times of the advertisement of interest and whether its content exactly matches the content of a reference advertisement used as the basis for the mathematical comparisons and correlations.

Methods and systems for automatically detecting gross patient motion using a diagnostic medical imaging system are provided. The method provides for acquiring a plurality of frames of image data, positioning a first time window and a second time window over overlapping frames of image data, calculating a statistical correlation value based on the first time window and the second time window, and comparing a first derivative of the statistical correlation value to a threshold value to determine patient motion.

A method for improving and extending an existing digital road network and generating new networks from statistically relevant amounts of probe data recorded by GPS-enabled navigation devices. New probe data is matched to the existing digital map, then the data merged into the existing network using a time-dependent weight and / or accuracy-dependent weight. A recalculation date is established, and the weight value of a line segment and / or trace is adjusted as a function of the time span relative to the recalculation. The function may include setting a maximal time period divided into bins each having a respective weight reduction factor, or applying decay function. Through this technique, digital maps can be updated and extended without undue influence exerted by old trace data.

A system and method of discovering dependencies between relational database column pairs and application of discoveries to query optimization is provided. For each candidate column pair remaining after simultaneously generating column pairs, pruning pairs not satisfying specified heuristic constraints, and eliminating pairs with trivial instances of correlation, a random sample of data values is collected. A candidate column pair is tested for the existence of a soft functional dependency (FD), and if a dependency is not found, statistically tested for correlation using a robust chi-squared statistic. Column pairs for which either a soft FD or a statistical correlation exists are prioritized for recommendation to a query optimizer, based on any of: strength of dependency, degree of correlation, or adjustment factor; statistics for recommended columns pairs are tracked to improve selectivity estimates. Additionally, a dependency graph representing correlations and dependencies as edges and column pairs as nodes is provided.

A campaign offers and rewards system has an offer serving engine coupled to one or more network servers. A receipt intelligence engine includes a processor and receipt processing. The receipt processing extracts information from a receipt, including information about items purchased based on a receipt from at least one of a shopping trip and an electronic receipt from an online or offline transaction. An output outputs information. An analytics engine is coupled to the receipt intelligence engine. The analytics engine includes a predictive model function using information from the receipt processing. The analytics engine determines values representing statistical correlations from the receipt processing.

Aggregation queries are performed by first identifying outlier values, aggregating the outlier values, and sampling the remaining data after pruning the outlier values. The sampled data is extrapolated and added to the aggregated outlier values to provide an estimate for each aggregation query. Outlier values are identified by selecting values outside of a selected sliding window of data having the lowest variance. An index is created for the outlier values. The outlier data is removed from the window of data, and separately aggregated. The remaining data without the outliers is then sampled in one of many known ways to provide a statistically relevant sample that is then aggregated and extrapolated to provide an estimate for the remaining data. This sampled estimate is combined with the outlier aggregate to form an estimate for the entire set of data. Further methods involve the use of weighted sampling and weighted selection of outlier values for low selectivity queries, or queries having group by.

A navigation system for mobile use includes street map data used for creating a dynamic map display tracking movement of the vehicle and includes crime data used to provide an overlay on the dynamic display indicating a risk of crime to the vehicle's occupants from the surrounding area. Crime data may be harvested from police websites and / or generated using statistical correlation techniques from other proxy information. Presented crime data indicate crime risk, type of crime, crime date or time of occurrence, and linkage to environmental conditions such as type of weather, temperature, and moonlight.

At least one pair of hodoscope radiation monitors arranged to simultaneously monitor a target region that contains a source of radiation. The hodoscopes are preferably arranged so that their fields of view of the region are approximately orthogonal. The fields of view of the two detectors will overlap in a region that contains the source of radiation. Each of the two detectors will record radiation from the overlap region and, in addition, will record background radiation emanating from other regions within detector fields of view. The present invention provides statistical correlation techniques to estimate the extent to which unusually high radiation originates in the overlap region, irrespective of background in the field-of-view of individual hodoscope detectors. The source of radiation might be spontaneous, might be from an activation process, or might be scattered in from an external beam.

A method for analyzing data, the data characterized by a set of scalars and a set of vectors, to analyze the data into components related by statistical correlations. In preferred embodiments, the invention includes steps or devices for, receiving a set of a scalars and a set of vectors as the inputs; calculating a correlation direction vector associated with the scalar and vector inputs; calculating the inner products of the input vectors with the correlation direction vector; multiplying the inner products onto the correlation direction vector to form a set of scaled correlation direction vectors; and subtracting the scaled correlation direction vectors from the input vectors to find the projections of the input vectors orthogonal to the correlation direction vector. The outputs are the set of scalar inner products and the set of vectors orthogonal to the correlation vector. The steps or devices can be repeated in cascade to form a multi-stage analysis of the data. The invention can also be used with a steering vector preceding the adaptive analysis stages.

A method for measuring satisfaction within a service environment including the steps of modeling contractual customer service relationships using a hierarchical composition model with discrete abstract elements, creating and distributing customer perception surveys having questions, wherein the questions are dynamically generated from a computer database based on events within the service environment and element weightings within a hierarchical composition model, collecting and analyzing the customer perception surveys, calculating aggregate measures of customer perception that have statistical reliability, correlating the measures of customer perception to create at least one statistical causality between customer perception and business performance and adjusting the element weights using calculated customer perception measures and statistical correlation measures to refine reliability of future analysis and calculation results.

The timing and placement of advertising on TV, radio or other broadcast media can be automatically verified or audited by monitoring and recording channels of TV, radio or broadcast media by storing and tagging discrete portions of segments of the broadcast signals in a database. A controller, or “dispatcher” server, dispatches the files to an analysis server for performing various mathematical comparisons and statistical correlations on the audio and video signals for positively identifying one or more advertisements of interest. A report is generated, providing particulars about the airing times of the advertisement of interest and whether its content exactly matches the content of a reference advertisement used as the basis for the mathematical comparisons and correlations.

The invention discloses an intelligent traffic system flow short-term prediction method and system based on divergence convolution and GAT. Missing values in the traffic flow data set are complementedthrough a statistical correlation method such as a historical average value method, the distance between every two nodes is calculated, a Gaussian kernel with a threshold value is used for establishing an adjacency matrix representing the node adjacency degree, a divergence convolution layer is used for fully extracting spatial and temporal features of traffic flow data, and then, the extracted features are predicted through a coder-decoder program with planned sampling based on a graph attention mechanism and a divergence convolution gating cycle unit network. According to the method, the problem of data missing can be effectively improved, the prediction precision and the operation efficiency are remarkably improved, and particularly, the short-time prediction effect is better.

Events are received from a plurality of security devices (which may be similar or different devices, e.g., intrusion detection systems configured to monitor network traffic) and divided into a plurality of event flows. Comparing the event flows (e.g., using statistical correlation methods) then generates one or more meta-events. The received events may be divided into different event flows on the basis of the security device which generated the events. The meta-events may be generated by evaluating a perimeter defense device through comparison of the different event flows. In some cases, various ones of the security devices may be inside or outside a perimeter defined by the perimeter defense device.

System and method for identifying commodities for recommendation to a target user based on side information that is pertinent to a specific target user and extrinsic to the commodities. Training data is exploited to derive a statistical correlation between users' side information of a plurality of attributes with a plurality of commodities. The training data includes side information of a set of training users and a plurality of commodities towards which the training users have manifested preference. Based on the derived statistical correlation and the target user's side information, a probability distribution representing the target user's tendency to purchase the plurality of commodities can be determined. As a result, a list of commodities can be automatically selected from the plurality of commodities and recommended to the target user.

A method for determining an “effective” thermal coefficient of a machine comprises the steps of installing one or more temperature sensors (110) at various locations on the machine, positioning a first machine member (60) at a “known” reference location, relative to a second machine member (42), installing a linear position measuring device (120) to detect changes in position of the first machine member (60) relative to the second machine member (42) along a first axis of movement, periodically acquiring readings from each of the temperature sensors (110) and from the linear position measuring device (120) during a test cycle and compiling the temperature and linear position data into a table. A statistical correlation analysis is performed to determine which of the temperature sensors (110) experiencing changes in temperature are most linearly related to changes in the linear position of the first machine member (60) relative to the second machine member (42) and an “effective” coefficient of thermal expansion is thereafter determined as the rate of change of position, i.e. length, relative to change in temperature. The present method includes using the machine's “effective” thermal coefficient the calibrate the motion of the machine to compensate for the thermal characteristics thereof.

A method of whole-brain EEG neurofeedback training of a trainee using live Z-scores from 4 channels of EEG signals to acquire 248 Z-scores from 6 simultaneous interconnectivity paths. The feedback system is endowed with the ability to establish training targets and to use derived metrics to produce feedback of an auditory, visual, vibrotactile, or other sensory or direct nature. The feedback signals are determined by a multivariate analysis that takes into consideration how measured variables compare with predefined criteria, thus producing a statistical correlation in real-time, in conjunction with a reference or normative database, rule-set, algorithm, discriminate function, or classification system.

A method of using natural language processing (NLP) techniques to extract information from online news feeds and then using the information so extracted to predict changes in stock prices or volatilities. These predictions can be used to make profitable trading strategies. Company names can be recognized and simple templates describing company actions can be automatically filled using parsing or pattern matching on words in or near the sentence containing the company name. These templates can be clustered into groups which are statistically correlated with changes in the stock prices. The system is composed of two parts: message understanding component that automatically fills in simple templates and a statistical correlation component that tests the correlation of these patterns to increases or decreases in the stock price. The methods can be applied to a broad range of text, including articles in online newspapers such as the Wall Street Journal, financial newsletters, radio &TV transcripts and annual reports. In an enhanced embodiment of the system statistical patterns in Internet usage data and Internet data such as newly released textual information on Web pages are further leveraged.

The invention provides a remote sensing monitoring method for the concentration of chlorophyll a in an inland water body based on a sectional coordination model. Aiming at the defects and disadvantages in remote sensing monitoring technology for of the concentration of the chlorophyll a, the invention provides the method which combines the advantage that an optical physical mechanism of the water body of the chlorophyll a can perform quantitative theoretical analysis and the advantages of simple calculation and high accuracy of a statistical correlation model. The method is characterized in that the method comprises four units, namely a threshold determination unit, a sectional coordination model unit, a model connection unit and a model calculation unit. The technical method jointly formed by the four units can effectively improve the inversion accuracy of remote sensing data to the chlorophyll a.

A method for performing packet loss concealment of lost packets in Voice over IP (Internet Protocol) speech transmission. Statistical n-gram models are initially created with use of a training speech corpus, and then, packets lost during transmission are advantageously replaced based on these models. In particular, the existence of statistical patterns in successive voice over IP (VoIP) packets is advantageously exploited by first using conventional vector quantization (VQ) techniques to quantize the parameter data for each packet with use of a corresponding VQ index, and then determining statistical correlations between consecutive sequences of such VQ indices representative of the corresponding sequences of n packets. The statistic n-gram predictive models so created are then used to predict parameter data for use in representing lost data packets.

Described systems and mechanisms relate to techniques for improving usability, speed, and accuracy of text input to touch-typable devices. A touch-typable device can include a movable keymask comprising of a plurality of cells mapped with one or more keys of text input keypad of the touch-typable device, wherein each of the plurality of cells of the movable keymask superimposes over textual input choices enabling the user to select the desired textual input from the plurality of cells of the movable keymask using the text input keypad of the touch-typable device. The textual input choices can be chosen after every user input from a set of likely input choices, wherein the likely input choices can be selected based on previous textual input sequence, phoneme and syllabary patterns, statistical correlation between the previous textual input sequence and set of textual input choices, dictionary lookups, and usage patterns of said user.

The present disclosure concerns a method and system for assessing image quality of sub-images used to form a composite image using an algorithm developed by applying statistical correlation techniques to historical data on features of sub-images which were manually evaluated by experts and using those assessment to make decisions about the further processing of the sub-images which are being assessed. The method and system find particular value in the processing of sub-images generated while there is relative motion between the specimen under examination and the objective lens of a microscope such as when the microscope stage follows a planned traverse in the focal plane and a digital image is created at intervals correlated to the motion of the stage so that a region of interest in the specimen under examination is covered by the sub-images. The further processing decisions include manually examining the sub-images assessed to have unacceptable image quality, reimaging the entire region of interest and recreating specific sub-images. The method and system may also involve overlaying portions of a composite image with an indication that they were drawn from sub-images of unacceptable image quality.

A method for image registration includes receiving first and second image information. A library of joint intensity distributions, spanning a space of non-parametric statistical priors, derived from earlier perfect matching results is received. From among this library, a preferred learned joint intensity distribution is automatically selected during the registration process. As a result, a displacement field is generated both (i) maximizing the statistical dependency between an intensity distribution of the first and second image information and (ii) minimizing the statistical distance to the learned joint intensity distributions. The generated displacement field is used to transform an image structure from the first image information to an image structure of the second image information.