5882 results about "Data point" patented technology

An environmental control system controls monitoring and operation of a multiplicity of disparate environmental control devices by determining an appropriate configuration for each control device and communicates corresponding monitoring and control commands to each device in accordance with its corresponding communication protocol over a selected I/O port. An operational instruction set includes a structural definition of an enterprise facility in which devices are defined by personality modules and communicate with a system host in accordance with a protocol defined in a protocol module. Facility implementation is defined by a node tree structure which collects suitable protocol nodes under a corresponding I/O interface port node. Device (personality) nodes are collected under corresponding protocol nodes, and data point nodes depend from their corresponding device nodes. Data points nodes are individually accessible by merely traversing the node tree using a URL-like notational structure, allowing off-site users to control and monitor environmental devices by issuing commands in the form of a URL.

A method and apparatus for estimating poses of a subject by grouping data points generated by a depth image into groups representing labeled parts of the subject, and then fitting a model representing the subject to the data points using the grouping of the data points. The grouping of the data points is performed by grouping the data points to segments based on proximity of the data points, and then using constraint conditions to assign the segments to the labeled parts. The model is fitted to the data points by using the grouping of the data points to the labeled parts.

A color management method/apparatus generates image color matching and International Color Consortium (ICC) color printer profiles using a reduced number of color patch measurements. Color printer characterization, and the generation of ICC profiles usually require a large number of measured data points or color patches and complex interpolation techniques. This invention provides an optimization method/apparatus for performing LAB to CMYK color space conversion, gamut mapping, and gray component replacement. A gamut trained network architecture performs LAB to CMYK color space conversion to generate a color profile lookup table for a color printer, or alternatively, to directly control the color printer in accordance with the a plurality of color patches that accurately. represent the gamut of the color printer. More specifically, a feed forward neural network is trained using an ANSI/IT-8 basic data set consisting of 182 data points or color patches, or using a lesser number of data points such as 150 or 101 data points when redundant data points within linear regions of the 182 data point set are removed. A 5-to-7 neuron neural network architecture is preferred to perform the LAB to CMYK color space conversion as the profile lookup table is built, or as the printer is directly controlled. For each CMYK signal, an ink optimization criteria is applied, to thereby control ink parameters such as the total quantity of ink in each CMYK ink printed pixel, and/or to control the total quantity of black ink in each CMYK ink printed pixel.

A system and method for developing customized apparatus for use in one or more surgical procedures is disclosed. The system and method incorporates a patient's unique anatomical features or morphology, which may be derived from capturing MRI data or CT data, to fabricate at least one custom apparatus. According to a preferred embodiment, the customized apparatus comprises a plurality of complementary surfaces based on a plurality of data points from the MRI or CT data. Thus, each apparatus may be matched in duplicate and oriented around the patient's own anatomy, and may further provide any desired axial alignments or insertional trajectories. In an alternate embodiment, the apparatus may further be aligned with at least one other apparatus used during the surgical procedure.

Methods and apparatus are described for collecting and storing large volumes of time series data. For example, such data may comprise metrics gathered from one or more large-scale computing clusters over time. Data are gathered from resources which define aspects of interest in the clusters, such as nodes serving web traffic. The time series data are aggregated into sampling intervals, which measure data points from a resource at successive periods of time. These data points are organized in a database according to the resource and sampling interval. Profiles may also be used to further organize data by the types of metrics gathered. Data are kept in the database during a retention period, after which they may be purged. Each sampling interval may define a different retention period, allowing operating records to stretch far back in time while respecting storage constraints.

A system and method for acquiring spatial mapping information of surface data points defining a region unable to receive effective GPS signals, such as the interior of a building, includes an IMU for dynamically determining geographical positions relative to at least one fixed reference point, a LIDAR or camera for determining range of the IMU to each surface data point, and a processor to determine position data for each surface data point relative to the at least one reference point. A digital camera obtains characteristic image data, including color data, of the surface data points, and the processor correlates the position data and image data for the surface data points to create an image of the region.

Data from a plurality of sensors representing a patient's condition, including measurement signals and also secondary parameters derived from the measurement signals, are displayed in a simple way by calculating a novelty index constituting a one-dimensional visualization space. The novelty index is based on the distance of the current data point in a multi-dimensional measurement space, whose coordinates are defined by the values of the measurement signals and secondary parameters, from a predefined normal point. This may be achieved by using a suitably trained artificial neural network to sum the distance between the current data point in the measurement space and a plurality of prototype points representing normality.

To assist in patent searching a description includes a consumer purchasing behavior profiling system having aspects including consumer profiles formed and updated based on a variety of data. Advertisers access to send targeted advertising messages to the consumers. Aspects include advertising information together with incentive level and mix being correlated with the consumer profile to produce a measure of the applicability of the ad to that consumer and the probability of converting that consumer. Other aspects include determining the mix of ad information, incentive level and type, and product offering that will be required to convert an ad viewer to a buyer. Aspects focus on using wireless devices with consumers. Other aspects reside in methods of using electronic coupons distribution and redemption to collect additional data points necessary to understand the consumer's purchasing decision process and factors that influence the purchasing decision.

The invention discloses a trajectory tracking control method used for an automatic driving robot of a vehicle, which relates to electronic control technologies of vehicles. The desired trajectory of a vehicle is described in a data point mode to obtain the current position information of the vehicle; humanoid driving is carried out according to the current driving direction at the current vehicle position to preview a distance ahead; the position obtained by previewing is compared with the desired trajectory to determine the lateral position deviation, the angle deviation and the vehicle speed deviation of the coordinate position obtained by previewing relative to the desired trajectory; then, the vehicle direction is jointly controlled by a trajectory tracking and speed controller according to position deviation and direction deviation; and according to vehicle speed deviation, the control quantities of an accelerator pedal and a brake pedal are determined with a fuzzy control method. The trajectory tracking control method is suitable for controlling the trajectory tracking of any trajectory, various vehicle types and various working conditions, and an automatic driving robot performs the control. The trajectory tracking control method has high precision and good repeatability and has an important meaning for guaranteeing the quality of vehicle reliability experiments and improving experiment safety.

The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k₂). In another aspect of the invention, pre-exponential terms (1/c₂) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors. Further, the present invention relates to algorithms for improved optimization of parameters for use in prediction models that require optimization of adjustable parameters.

A method for padding, filtering, denoising, image enhancing and increased time-frequency acquisition is described for digitized data of a data set where unknown data is estimated using real data by adding unknown data points in a manner that the padding routine can estimate the interior data set including known and unknown data to a given accuracy on the known data points. The method also provides filtering using non-interpolating, well-tempered distributed approximating functional (NIDAF)-low-band-pass filters. The method also provides for symmetric and/or anti-symmetric extension of the data set so that the data set may be better refined and can be filtered by Fourier and other type of low frequency or harmonic filters.

A method and system for monitoring and analyzing compliance with an internal dosing regimen prescribed to be taken in multiple dose forms includes the steps of detecting internalization of a first dose form to generate a first data point, detecting internalization of a second dose form to generate a second data point, and analyzing the first data point and the second data point. The step of analyzing the first and second data points generates a metric of a variety of possible metric types. The first and second dose forms may be two of any plural number of sequentially-internalized dose forms which generate a like number of sequential data points. Subsequent internalizations of dose forms result in at least a like number of data points being generated. To effect the disclosed method a system is provided which includes at least two dose forms, a time stamp identifier operatively associated with each dose form, a receiving device for receiving the time stamp identifier data, and an analyzer for analyzing the received data,

The present invention relates to methods of formulating analyte data databases, the databases themselves, and methods of manipulating the same. In one aspect the present invention includes the formulation of analyte data points, derived data, and data attributes databases comprising data points collected using an analyte monitoring device capable of frequent monitoring of analyte concentrations or amounts. Such data points may comprise acquired data (e.g., values corresponding to analyte concentrations or amounts as measured by said analyte monitoring device). These data points are then associated with one or more relevant data attributes. The resulting databases may be manipulated to determine relationships among the components of the database.

A fractional concentration of clinically-relevant DNA in a mixture of DNA from a biological sample is determined based on amounts of DNA fragments at multiple sizes. For example, the fractional concentration of fetal DNA in maternal plasma or tumor DNA in a patient's plasma can be determined. The size of DNA fragments in a sample is shown to be correlated with a proportion of fetal DNA and a proportion of tumor DNA, respectively. Calibration data points (e.g., as a calibration function) indicate a correspondence between values of a size parameter and the fractional concentration of the clinically-relevant DNA. For a given sample, a first value of a size parameter can be determined from the sizes of DNA fragments in a sample. A comparison of the first value to the calibration data points can provide the estimate of the fractional concentration of the clinically-relevant DNA.

Digital mapping techniques are disclosed that provide visually-oriented information to the user, such as driving directions that include visual data points along the way of the driving route, thereby improving the user experience. The user may preview the route associated with the driving directions, where the preview is based on, for example, at least one of satellite images, storefront images, and heuristics and/or business listings.

A system and method for developing customized apparatus for use in one or more surgical procedures is disclosed. The system and method incorporates a patient's unique anatomical features or morphology, which may be derived from capturing MRI data or CT data, to fabricate at least one custom apparatus. According to a preferred embodiment, the customized apparatus comprises a plurality of complementary surfaces based on a plurality of data points from the MRI or CT data. Thus, each apparatus may be matched in duplicate and oriented around the patient's own anatomy, and may further provide any desired axial alignments or insertional trajectories. In an alternate embodiment, the apparatus may further be aligned and/or matched with at least one other apparatus used during the surgical procedure.

An electronic compass system includes a magnetic sensor circuit having at least two sensing elements for sensing perpendicular components of the Earth's magnetic field vector. A processing circuit is coupled to the sensor circuit to filter, process, and compute a heading. The processing circuit further selects an approximating geometric pattern, such as a sphere, ellipsoid, ellipse, or circle, determines an error metric of the data points relative to the approximating pattern, adjusts the pattern to minimize the error, thereby obtaining a best fit pattern. The best fit pattern is then used to calculate the heading for each successive sensor reading provided that the noise level is not noisy and until a new best fit pattern is identified. The electronic compass system is particularly well suited for implementation in a vehicle rearview mirror assembly.

Systems and methods are provided for extracting various features from data having spatial coordinates. The systems and methods may identify and extract data points from a point cloud, where the data points are considered to be part of the ground surface, a building, or a wire (e.g. power lines). Systems and methods are also provided for enhancing a point cloud using external data (e.g. images and other point clouds), and for tracking a moving object by comparing images with a point cloud. An objects database is also provided which can be used to scale point clouds to be of similar size. The objects database can also be used to search for certain objects in a point cloud, as well as recognize unidentified objects in a point cloud.

A system for management, correlation and combination of various analysis techniques, or “advisors.” Graphical user interface (GUI) controls and displays are provided to allow a user to configure different aspects of an analysis system. A financial analysis application allows a user to designate instruments whose data points, factors or other relevant data can be pre-processed with indicators. The outputs of the indicators are provided to advisors for calculation and grouping. A user is able to select the types of raw data to use, the instruments, the factors, the data feeds and other sources for data, the indicators that perform processing and the advisors that perform analysis, grouping and outputting of results for combining using machine learning mechanisms. A user can set or adjust other parameters such as modeling frequency, scheduled processing, whether the system is running a simulation or is designed for higher performance execution. These and other characteristics of the system can be saved as a portfolio for later use and adjustment by the user. Other features are described.

An in-vivo sensing system and a method for creating a summarized graphical presentation of a data stream captured in-vivo. The graphical presentation may be in the form of a series of summarized data points, for example a color bar. The color bar may be a fixed display along side a streaming display of the data stream. A cursor, icon or other indicator may move along the fixed color bar as the data stream is displayed and/or streamed so as to indicate to a health professional what part of the data stream may be currently displayed. The color content in the color bat may map out the data stream and give indication of the location of anatomical sites as well as possible locations of pathology.

A health monitoring system, and methods of use and manufacture thereof are disclosed. The health monitoring system may include a computing system and a diagnostic test coupled to a diaper. The diagnostic test may include one or more sensors configured to produce a visual indication of one or more analytes contained in a sample produced by a subject. The diagnostic test may include a machine-readable code. The computing system may be configured to read the machine-readable code to allow an application running on the computing system to automatically perform at least one task related to a production of a data point based on the visual indication. The health monitoring system may aid in identifying a potential abnormal health condition of the subject by providing automatic longitudinal analysis of analytes contained in samples produced by the subject over a period of time.

In a method and apparatus for magnetic resonance imaging of an interconnected region of a human body on the basis of a partially parallel acquisition (PPA) by excitation of nuclear spins and measurement of the radio-frequency signals produced by the excited nuclear spins, a number of spin excitations and measurements of an RF response signal are implemented simultaneously in every component coil of a number of RF reception coils. As a result a number of response signals are acquired that form a reduced dataset of received RF signals for each component coil. Additional calibration data points are acquired for each reduced dataset. A complete image dataset is formed for each component coil on the basis of the reduced dataset for that component coil and at least one further, reduced dataset of a different component coil. A spatial transformation of the image dataset of each component coil is implemented in order to form a complete image of each component coil.

A system and a method are disclosed for visually displaying data points using pie charts on a display screen with limited display area. Detailed information is presented for individual sectors compared to other sectors displayed. The sector is selected for displaying detailed information based on its orientation with respect to a centerline axis of the chart. The pie chart can be rotated to cause detailed information to be displayed for different sectors. The mechanism is used to display detailed information of data points for other kinds of charts including multi-series pie charts and donut charts.

The present invention relates to a method to measure, record, analyze, and report cumulative radiation exposure to the patient population and provide automated feedback and recommendations to ordering clinicians and consultant radiologists. The data provided from this “radiation scorecard” would in turn be automatically recorded into a centralized data repository (radiation database), which would be independent to the acquisition site, technology employed, and individual end-user. Retrospective analysis can also be performed using a set of pre-defined scorecard data points tied to the individual patient's historical medical imaging database, thereby allowing for comprehensive (both retrospective and prospective) medical radiation exposure quantitative analysis. Patient safety can be improved by a combination of radiation dose reduction, exposure optimization, rigorous equipment quality control (QC), education and training of medical imaging professionals, and integration with computerized physician order entry (CPOE).