163 results about "Scatter plot" patented technology

A method, system, and computer program product are provided for a new data visualization tool that visually approximates a scatter plot and provides smooth animation of graphics by using interpolated data. An interpolation process is performed over pre-processed bins of scattered data points. A user can smoothly animate a plot along several dimensions by using an external query device to vary a selected data attribute. If the external query device (or slider) control is positioned in between discrete positions of the slider, the displayed plot corresponds to interpolated data. Adjacent data structures are determined corresponding to the position of the external query device. The adjacent data structures are merged together, then aggregated the using the spatial columns of the data structure as a unique key. An interpolated bin is generated, where the weight of the bin is interpolated and the dependent attribute is also interpolated and weighted. The interpolated dependent attribute is mapped to color in the visualized scatter plot. The plot appears as rendered splats corresponding to bin positions of the interpolated bins, where each splat has an opacity that is a function of the interpolated weight of data points in the corresponding bin.

An apparatus and method for identifying clusters in two-dimensional data by generating a two-dimensional histogram characterized by a grid of bins, determining a density estimate based on the bins, and identifying at least one cluster in the data. A smoothed density estimate is generated using a Gaussian kernel estimator algorithm. Clusters are identified by locating peaks and valleys in the density estimate (e.g., by comparing slope of adjacent bins). Boundaries (e.g., polygons) around clusters are identified using bins after bins are identified as being associated with a cluster. Boundaries can be simplified (e.g., by reducing the number of vertices in a polygon) to facilitate data manipulation.

A novel graphical user interface (GUI) using metadata, generates three-dimensional scatter plots (100, 200, 300, 400) for the efficient and aesthetic navigation and retrieval of pictures in a picture database. The first and second dimensions (102, 104, 202, 204, 302, 304, 402, 404) represent abscissas and ordinates corresponding to two picture characteristics chosen by the user. Distinguishing characteristics of icons (108-126, 208-230, 308-326, 408-430) in the scatter plot (100, 200, 300, 400), which icons represent groups of pictures, indicate the third dimension, also chosen by the user. In the preferred embodiment, the third dimension is indicated by the color of the icon (108-126, 208-230, 308-326, 408-430). Along with many other possibilities, the three dimensions of a scatter plot (100, 200, 300, 400) can represent combinations of “Who,”“What,”“When,”“Where,” and “Why” picture characteristic information contained in the picture metadata. Activating an icon (108-126, 208-230, 308-326, 408-430) produces a thumbnail of the pictures in the group represented by the particular icon (108-126, 208-230, 308-326, 408-430). Updating one display dimension dynamically updates the other display dimensions.

The invention relates to a method for objectively and quantifiably evaluating noise fret degree in a vehicle based on an auditory model, in particular to an evaluation method of psychoacoustics and vehicle sound quality. The method comprises the following steps: designing a dummy head model; imitating a processing mechanism of the middle ear and the inner ear of a human body to the sound by usingan auditory peripheral calculation model; collecting vehicle noise signals under the working conditions of uniform, accelerated and idle speed; pre-treating the noise sample and processing the loudness in specification; obtaining a psychoacoustics parameter by using a sound quality calculation model; obtaining subjective evaluation result test data by using a grouped and paired comparison method;calculating and painting a correlated scatter plot chart between each parameter and the ranking value of the subjective evaluation result; and analyzing and calculating to obtain the objectively quantifiable model of the subjective fret degree under each working condition. The invention can realize the psychoacoustic parameter calculation of objectively evaluating the sound quality with differentvehicle types, gears and speeds, wherein the calculated value has good pertinence and consistency with the evaluated result of the subjective evaluation method. The invention has stable evaluated result and high reliability, and can improve the sound quality and competitiveness of vehicles combined with the design of new CAE cars.

A method, system, and computer program product for a new data visualization tool for determining distribution weights that represent values of a categorical variable and then mapping a distinct color to each of the weights so as to visually represent the different values of the categorical variable (or data attribute) in a scatter plot. The distinct colors of a splat are based on the distribution of categorical variable values in a corresponding bin, the distribution of which is represented by a vector. The vector contains as many locations as the number of different values for the categorical variable. The value stored in each location is typically a weight or percentage for that particular value of the categorical variable. Each location in the vector is also associated with a distinct color. The coloring of a single splat with multiple colors involves the rendering of each vector by looping through each vector location, and then based on the weight stored in that location, randomly selecting the same percentage of triangles in the splat for the color associated with that vector location. A threshold is used to help reduce confusion and decrease processing time by summing all weights below the threshold and assigning to it a single neutral color. A slider or other controller can be used to vary the value of the threshold.

Method, system and software for social-financial investment risk avoidance, opportunity identification, and data visualization, which can use social data with other data to generate and present new types of data, which can be used by investors to make investment decisions, which can include a scoring model, which can help users identify trends and / or interpret and synthesize large amounts of data based on social data and other data, which can include an interactive, graphical user interface, which allows users to explore and examine social data and other data that can impact, for example, the investment performance of a company's stock, and which can include the ability to click on any word or point on a line plotted over time to see additional information constructs, where the social data can be illustrated via numeric scores, line and scatter plots, word clouds, word radials, gauges and the like.

An image-based biomarker is generated using image features obtained through object-oriented image analysis of medical images. The values of a first subset of image features are measured and weighted. The weighted values of the image features are summed to calculate the magnitude of a first image-based biomarker. The magnitude of the biomarker for each patient is correlated with a clinical endpoint, such as a survival time, that was observed for the patient whose medical images were analyzed. The correlation is displayed on a graphical user interface as a scatter plot. A second subset of image features is selected that belong to a second image-based biomarker such that the magnitudes of the second image-based biomarker for the patients better correlate with the clinical endpoints observed for those patients. The second biomarker can then be used to predict the clinical endpoint of other patients whose clinical endpoints have not yet been observed.

Certain embodiments provide a radiation analysis system for material segmentation utilizing computed tomography (CT) scans. The radiation analysis system includes an input module configured to input dual energy data. The dual energy scanned data includes first data corresponding to a first parameter and second data corresponding to a second parameter for a given scanned volume. The radiation analysis system also includes a processor configured to generate a scatter plot based on the dual energy data. The first data corresponds to a first axis and the second data corresponds to a second axis. The processor is configured to identify at least one material type based on the scatter plot.

Systems and methods are described for analyzing video content in conjunction with historical video consumption data, and identifying and generating relationships, rules, and correlations between the video content and viewer behavior. According to one aspect, a system receives video consumption data associated with one or more output states for one or more videos. The output states generally comprise tracked and recorded viewer behaviors during videos such as pausing, rewinding, fast-forwarding, clicking on an advertisement (for Internet videos), and other similar actions. Next, the system receives metadata associated with the content of one or more videos. The metadata is associated with video content such as actors, places, objects, dialogue, etc. The system then analyzes the received video consumption data and metadata via a multivariate analysis engine to generate an output analysis of the data. The output may be a scatter plot, chart, list, or other similar type of output that is used to identify patterns associated with the metadata and the one or more output states. Finally, the system generates one or more rules incorporating the identified patterns, wherein the one or more rules define relationships between the video content (i.e. metadata) and viewer behavior (i.e. output states).

The invention relates to a computer-implemented method for automatically extracting data from a scatter plot. The method comprises receiving a digital image of a scatter plot; analyzing the received digital image for identifying a plurality of pixel sets, each pixel set being a group of adjacent pixels; analyzing the pixel sets in the received image or in a derivative of the received image for generating a plurality of templates; comparing the templates with pixels of a target image for identifying matching templates; identifying data points for the identified similar templates; assigning to each identified data point a data series; and returning the identified data points.

A presentation engine presents facts in a UI having a graph. Through manipulation of the UI, an end-user can add or remove facts from the graph, and can sort the facts shown in the graph based on values that are shown, or not shown, in the graph. The presentation engine determines a graph type that best facilitates interpretation of the facts by the end-user and automatically creates a graph of that type. Possible graph types include bar graphs, scatter plots, timelines, and maps.

A system, method, and medium for generating a visual representation of a data center. The data center includes multiple cloud groups, and each cloud group is represented with a circle in the visual representation. The size of the circle represents the aggregate capacity of the cloud group. The visual representation is a scatter plot with a horizontal axis measuring health and a vertical axis measuring available capacity. Circles are placed within the scatter plot based on the health and available capacity of their corresponding cloud groups. The color of the circle is based on the health of the corresponding cloud group, and the density of the color is based on the available capacity of the corresponding cloud group.

Methods and systems for detecting defects on a wafer are provided. One method includes determining difference values for pixels in first output for a wafer generated using a first optics mode of an inspection system and determining other values for pixels in second output for the wafer generated using a second optics mode of the inspection system. The first and second optics modes are different from each other. The method also includes generating a two-dimensional scatter plot of the difference values and the other values for the pixels in the first and second output corresponding to substantially the same locations on the wafer. The method further includes detecting defects on the wafer based on the two-dimensional scatter plot.

The invention belongs to the field of electric system forecasting, and provides a method for estimating a wind power forecasting error burst based on a hidden markov model. A wind power ultrashort term forecasted value reported to a dispatching department for a wind power plant is a deterministic point forecasting and given in a curved mode, but the problem that the forecasting accuracy is not high exists. By introducing an HMM model, modeling is performed on the wind power ultrashort term forecasting error, the error burst is processed by means of a locally weighted regression scatter plot smoothing method, the result accuracy is improved and the result conservation is lowered. The wind power forecasting error burst can be obtained, an error fluctuation state transition matrix can be obtained, and references are provided for dispatching operation.

The invention discloses a rice leaf blast disease resistance identification grading method based on multi-scale hyperspectral image processing. Hyperspectral images of rice leaves with different resistance grades infected by rice blast are colleted by a hyperspectral imaging system. Spectral features of rice leaf blast disease spots and a normal position area of interest are analyzed at leaf scale, two wave bands with greater differences are obtained, two-dimensional scatter plot analysis of the two wave bands is made, and hyperspectral images only containing the disease spots are extracted. And then principal component analysis (PCA) is made at a disease spot scale, a principal component image which is beneficial for segmentation of brown disease spots and grey disease spots is obtained, and the grey disease spots are segmented out through an OTSU method. Finally, rice leaf blast disease resistance grading is conducted according to two parameters of elongation rate and suffered rate. With the rice leaf blast disease resistance identification grading method based on the multi-scale hyperspectral image processing, workload of resistance identification can be reduced, accuracy of resistance evaluation is improved, reasonable promotion and use of new disease-resistant varieties are supplied with scientific basis, and detection of rice leaf blast disease degree in the field is supplied with research foundation.

The invention relates to a working condition monitoring and fault diagnosis method for mechanical equipment. The method includes the steps that (1), vibration signals are collected; (2), primitive segmentation is performed on the signals; (3), the signals are separated and classified; (4), parameter statistics is performed on the separated signals; (5), two-parameter distribution displaying is performed, wherein all kinds of separated signals are displayed on a two-parameter plane in a scatter plot mode; (6), a motion state matrix is established; (7), by the utilization of the motion state matrix established in the step6, actual measurement vibration signal statistics and equipment state qualitative recognition are performed; (8), a quantitative relation model among the working state, working parameters and separation signal time domain statistics results is established; (9), in the real-time monitoring process, the separation signal time domain parameter statistics results are substituted into the quantitative relation model established in the step8, so that quantitative predication and fault quantitative diagnosis performed on the working parameters are achieved. Through a simple signal monitoring device low in cost, data are collected, and the working conditions of the mechanical equipment are monitored and recognized in real time. By the adoption of the simple algorithm, qualitative diagnosis performed on faults and quantitative predication performed on the working condition parameters are achieved, so that conditions are created for state monitoring and scientific fault quantitative diagnosis of the mechanical equipment.

Useful material for making low-dose radiographing and an increase in the image quality compatible with each other is provided. An image analysis unit of a central server derives the granularity of a region of interest by analyzing an X-ray image transmitted from a client terminal. A storage processing unit stores the granularity, the X-ray image, and radiographing information in a storage device so as to be associated with each other. A search processing unit searches for the radiographing information, which is matched with search conditions designated from the client terminal, and granularity, which is associated with the radiographing information, from the storage device. A statistical data generation unit generates a scatter plot, which has granularity on the vertical axis and a radiation dose on the horizontal axis, as statistical data. The statistical data is transmitted to the client terminal and is displayed on a display of the client terminal.

The invention provides a bedrock lithology identification and physical property calculation method and device. The method comprises the following steps: a cast thin section of a bedrock sample is analyzed to determine the rock type in the bedrock sample; on the basis of acquiring the data of multiple logging curves corresponding to the depth of bedrock and rock samples, the data of multiple logging curves are intersected in pairs to make scatter plots, and the logging curves which are sensitive to the type of bedrock and rock are selected from the multiple scatter plots; according to the coreanalysis results and logging sensitivity curves, the relationship between logging sensitivity curves and bedrock lithology and bedrock porosity is established, and it is concluded that bedrock binarylithology classification has a good correlation with bedrock porosity, and the rock type and porosity of bedrock non-coring section are determined according to the above relationship. This scheme provides a more reliable method for the identification of bedrock lithology and calculation of physical properties without core data calibration in the new area.

The invention discloses a rural domestic sewage dealing system with landscape function with scattered plots of unutilized land. The invention is characterized by the following: communicating with the filtering bed and the anaerobic tank; changing the traditional three-lattice-anaerobic tank; increasing the grid at the first lattice of the anaerobic tank; changing the discharging method at the immediate between the traditional first lattice wall and the second lattice wall; hanging the fiber filling at the third lattice. The filtering bed is divided into three lattices, the first lattice is an arranging water tank, the second lattice is filled three-layer composite base filtering material, and the third lattice is a water collecting sump. The waste water expands all rounds with the upflow straining function and capillarity of three-layer composite base filtering and is purified by filtering, depositing, absorbing and microbiological degradation. The invention has the simple operation, the good purifying effect and the good decorating environment effect.

Methods, systems, and computer software for classifying biological specimens. A number of objects of interest are identified in a biological specimen. A first feature of each object of interest (e.g., nuclear area) and a second feature of each object of interest (e.g., nuclear integrated optical density) are measured, and a scatter plot of the first and second features is generated. The specimen is classified as being either normal or suspicious based on the distribution of points within the scatter plot.

This invention relates to a method of, and a system for, monitoring electromagnetic interference. The method comprising capturing a plurality of time domain waveforms, and a plurality of scatter plots; receiving the plurality of captured time domain waveforms and scatter plots; applying a fast fourier transform (FFT) to each of the received time domain waveforms as it is received thereby to receive FFT outputs; storing the FFT outputs in a database; generating a statistically representative spectrograph or spectrogram in the frequency domain based on at least the stored FFT outputs and scatter plots or data associated with the scatter plots, combining constituent FFTs of the statistically representative spectrograph or spectrogram in such a manner as to emulate the result that would be produced by an EMI (Electromagnetic Interference) receiver or spectrum analyser; and combining resultant outputs from a number of iterations of this process to produce a final result (EMI spectrum).

A method and associated apparatus for relating a test image with a reference image in an automated image processing system is disclosed. The test and reference images are aligned. A two-dimensional scatter plot is then created by plotting the gray level of a test image pixel against the gray level of a corresponding reference image pixel for each aligned pixel location.

The invention relates to a method and system of monitoring partial discharges occurring in an electrical system, and to a method of measuring or analyzing partial discharges occurring in an electrical system. The method comprising receiving a signal or impulse, or information associated therewith, from the electrical system; breaking the received signal or impulse into predefined frequency components; and displaying a peak of the received signal or impulse on a scatter plot with other peaks associated with similar predefined frequency components.

A method implemented in a system of signal processing for phase-amplitude coupling (PAC) and amplitude-amplitude coupling (AAC), wherein comprises: decomposing a non-stationary signal by an ensemble empirical mode decomposition (EEMD) into a plurality of intrinsic mode functions (IMFs), receiving a phase function and an amplitude function from the IMFs, then comparing the phase function with the amplitude function on a time domain to generate a plurality of scattering plots. Further more, multiplying the scattering plots by the modulation index to generate a frequency spectrum. The following information will be illustrated the different part of PAC and AAC.

In a computerized method for adherence to physical restrictions in the construction of an ITE hearing aid, each component to be placed in the shell of the hearing aid has a collision plot associated therewith. The collision plot is generated as a scatter plot by measurement and simulation, and represents the physical extent of the influence of a particular property of the component on other components. When virtual representations of the respective components are moved relative to another in the e-detailing software for determining the physical positions of the components in the ITE hearing aid, the collision plot for a given component is visually displayed, so that it can easily be seen when another component invades that collision plot, thereby representing an unacceptably close relative position of the two components.

The invention relates to the field of testing of uniaxial stress-strain relation of in-service engineering structural materials, in particular to a method for obtaining the uniaxial stress-strain relation of a material by pressing a spherical pressure head in by repeatedly loading and unloading. The method comprises the steps that firstly, the hard material spherical pressure head is adopted to bepressed in the smooth surface of the tested material in an N-time quasi-static repeated loading and unloading mode to obtain a continuous pressing load P-pressing-in depth h curve, the plastic zone radius rp around a residual indentation pit is then measured after the press-in test is completed, and the method is used for processing data to draw a stress sigma-strain epsilon scatter plot similarto an uniaxial mechanical property test result. The method overcomes the local occasion limitation of the tested material range caused by the dependence of an existing spherical pressure head pressing-in test technology on a specific constitutive relation, the defects of time-consuming and labor-consuming and unreliable of fitting results caused by the fact that a large number of finite element simulation results or experimental result experience summary are required in the existing spherical pressure head pressing-in test technology are overcome, and the popularization and application of thespherical pressure head pressing-in test technology are facilitated.

The invention discloses a visibility analysis based cultural relic integration information mutual discovery method. The visibility analysis based cultural relic integration information mutual discovery method comprises the following steps of establishing a cultural relic foundation database and reading structural data of a certain type of cultural relics from the cultural relic database; representing above characteristics through a parallel axis visual navigation design; showing and exploring specific element information selected from the parallel axis visual navigation design by a user in force-directed Graph; deep extracting information such as historical records and inscription stories which are related to the cultural relics through text analysis and representing in a Scatter plot view; calculating geometrical distance of every two cultural relic characteristics to determine the similarity of the two cultural relics, determining a threshold value according to a calculation result of the similarity, connecting the two representative cultural relics being higher than the threshold values to form into a visual view for the storytelling. The visibility analysis based cultural relic integration information mutual discovery method can achieve learn and research of the cultural relics through specialists or general users, information cluster and a visual analysis method and integrated the information cluster and the visual analysis method.

A heart monitor for processing input signals that represent periodically reoccurring events in a sequence of heart cycles. According to the invention graphical data representing a scatter plot of at least two dimensions, one dimension representing interval duration or its inverse and the other dimension representing change of duration or its inverse, respectively, are generated. The scatter plot comprises data points of which each data point represents heart interval duration or its inverse plotted against the change of duration with respect to a neighboring interval or the inverse of said change respectively.