95 results about "Parallel coordinates" patented technology

A network monitoring apparatus collects packets of a first network, and generates visual information by displaying the packets on a parallel coordinate system which has one or more parallel axis for parameters of the packets. The network monitoring apparatus may extract attack packets from the packet, and the network monitoring apparatus may transmit the visual information to a remote server. Through the network monitoring apparatus, the network manager can visually grasp the state of the network or the existence of a network attack.

An interactive parallel coordinate system is used in a business method to provide users with greater abilities to interpret and explore the clickstream data of online stores on the Web. The interactive parallel coordinate system uses the multiple axes of the system to represent steps of a process with respect to an independent variable. Specifically, the process steps are sequential steps which sessions take during their navigation of a Web site.

An integrated human and computer interactive data mining method receives an input database. A learning, modeling, and analysis method uses the database to create an initial knowledge model. A query of the initial knowledge model is performed using a query request. The initial knowledge model is processed to create a knowledge presentation output for visualization. It further comprises a feedback and update request step that updates the initial knowledge model.A multiple level integrated human and computer interactive data mining method facilitates overview interactive data mining and dynamic learning and knowledge representation by using the initial knowledge model and the database to create and update a presentable knowledge model. It facilitates zoom and filter interactive data mining and dynamic learning and knowledge representation by using the presentable knowledge model and the database to create and update the presentable knowledge model. It further facilitates details-on-demand interactive data mining and dynamic learning and knowledge representation by using the presentable knowledge model and the database to create and update the presentable knowledge model.The integrated human and computer interactive data mining method allows rule viewing by a parallel coordinate visualization technique that maps a multiple dimensional space onto two display dimensions with data items presented as polygonal lines.

The invention discloses an ocean environment visualization method. Based on the combination of the ocean environment three-dimensional scene and a parallel coordinate method, the method comprises the concrete steps of modeling the three-dimensional scene and the parallel coordinates of ocean environment; secondly establishing a multi-dimensional element integrated rendering and interactive extraction algorithm based on the three-dimensional scene and the parallel coordinates of the ocean environment; thirdly expressing the multi-dimensional ocean environment data linked features and cluster features. The method can be used for knowledge discovery of ocean phenomena such as storm tides, red tides, ENSO circulation and the like, and provides a new idea for understanding, rebuilding and discovering ocean phenomena.

The invention discloses an information visualization technology-based house property data visualization system, which comprises a premise map visualization component, a tree graph visualization component, a parallel coordinate visualization component, a time flow graph visualization component and a collaborative analysis component, wherein the premise map visualization component is used for labeling actual geographical positions of various on-sale premises on a map according to the map and the geographical position data of the premises; the tree graph visualization component is used for indicating a premise by a rectangular diamond, and showing a certain numeric data of a corresponding premise by the color or area of the rectangular diamond; the parallel coordinate visualization component is used for visualizing multi-dimensional data; the time flow graph visualization component is used for visualizing timing data by using a time flow graph; and the collaborative analysis component is used for closely connecting various visualization components and correspondingly displaying different visualization effects of selected data in other components in real time when a user performs different selection operation in different visualization components. The information visualization technology-based house property data visualization system has the advantages of uniform data drawing, dynamic display, and high mining capacity and interactivity.

Systems and methods are presented in which interactive parallel coordinates capabilities are combined with automated correlation and regression tools providing advanced visual user interface utilities to facilitate identification of associations in multivariate data.

A multidimensional data visualization apparatus capable of visualizing a data distribution in an input space of high-dimensional data so as to enable understanding of relationships between input dimensions is provided. Low-dimensional parallel coordinates plot creation element 71 creates, from input multidimensional data, a plurality of low-dimensional parallel coordinates plots that are each a graph in which data relating to part of dimensions in the multidimensional data is represented by a parallel coordinates plot. Feature value computation element 72 computes, for each pair of low-dimensional parallel coordinates plots, a feature value indicating a relationship between the low-dimensional parallel coordinates plots forming the pair. Coordinate computation element 73 computes coordinates at which each low-dimensional parallel coordinates plot is arranged, based on the feature value computed by the feature value computation element 72.

Systems and methods are presented in which interactive parallel coordinates capabilities are combined with automated correlation and regression tools providing advanced visual user interface utilities to facilitate identification of associations in multivariate data.

The invention provides a camera external parameter assessment method and device, and a camera external parameter calibration method and device. The camera external parameter assessment method comprises the following steps: external parameters of a stereo camera are acquired; stereo images shot by the stereo camera are acquired, wherein the stereo images comprise a gray image and a depth image, and a vertical edge which is vertical to the ground exists in the scene; the vertical edge in the images is detected; a specific vertical edge is projected onto a ground parallel coordinate plane in a world coordinate system through the external parameters of the stereo camera; and the accuracy of the external parameters of the stereo camera is assessed based on the closeness degree between the projection shape formed by projecting the vertical edge onto the ground parallel coordinate plane and the round shape. Thus, the camera external parameter assessment can be performed conveniently, and the camera external parameter calibration method based on camera external parameter assessment can be used to acquire camera external parameters whose accuracy satisfies requirements.

The invention relates to the power distribution network fault positioning technology field and particularly relates to a power distribution network fault positioning method based on wavelet transformation and the CNN. Wavelet transform multi-scale analysis is utilized to decompose fault current data, in the parallel coordinate system, modulus maxima are calibrated in order, points are connected insequence to form a line graph, and lastly, the line graph is processed to be a grayscale image used as the input of the CNN, the powerful feature extraction capability of the CNN is utilized to extract hidden topological structure features in the data, a machine is enabled to automatically identify the traveling wave head, and the B-type traveling wave ranging method is utilized to realize faultpositioning. The method is advantaged in that shortcomings of not-enough wavelet transform high-scale time resolution, large low-scale noise interference and easy false determination of the travelingwave head are overcome, the parallel coordinate system is utilized to fully combine the characteristics of wavelet transform and the convolutional neural network to achieve high-scale to low-scale automatic search for the traveling wave head, and strong anti-interference ability and high accuracy are achieved.

An integrated human and computer interactive data mining method receives an input database. A learning, modeling, and analysis method uses the database to create an initial knowledge model. A query of the initial knowledge model is performed using a query request. The initial knowledge model is processed to create a knowledge presentation output for visualization. It further comprises a feedback and update request step that updates the initial knowledge model. A multiple level integrated human and computer interactive data mining method facilitates overview interactive data mining and dynamic learning and knowledge representation by using the initial knowledge model and the database to create and update a presentable knowledge model. It facilitates zoom and filter interactive data mining and dynamic learning and knowledge representation by using the presentable knowledge model and the database to create and update the presentable knowledge model. It further facilitates details-on-demand interactive data mining and dynamic learning and knowledge representation by using the presentable knowledge model and the database to create and update the presentable knowledge model. The integrated human and computer interactive data mining method allows rule viewing by a parallel coordinate visualization technique that maps a multiple dimensional space onto two display dimensions with data items presented as polygonal lines.

The invention belongs to the technical field of visual analysis, discloses a visual analysis method and system for ocean multidimensional data, and aims to reduce large-scale ocean data by using a dimension reduction method on the basis of reserving a data relation. The correlation among the ocean multi-dimensional data and the correlation among the dimensions is analyzed on the basis of visual display; and a multi-view visual analysis method suitable for ocean multi-dimensional data is further improved. According to the parallel coordinate visual analysis method provided by the invention, thebuoy observation point data is visually displayed, and a user is supported to directly select a data file needing to be analyzed; a sliding block function is added to select a time point which a useris interested in or a certain dimension data value interval, so that data which the user wants to observe can be displayed more visually; interested data is selected from the lower data bar, and thedistribution condition of the interested data can be highlighted in the visual parallel coordinates, so that the visual effect is more visual.

The invention discloses a data visualization analysis method based on multi-attribute rankings and an application. The data visualization analysis method based on the multi-attribute rankings combines a parallel coordinate visualization method with bar charts and is used for comprehensively ranking multiple attributes by utilizing the bar chart length to express values and parallel coordinates to display high-dimensional data, and the data ranking condition and an association relationship of different attributes of the data are reflected simultaneously. The data visualization analysis method comprises steps as follows: an attribute value of each risk factor in the data is obtained; the attribute values are subjected to weighting to generate comprehensive evaluation values; the attribute values are displayed in a bar chart manner, the comprehensive evaluation values are classified, and comprehensive evaluation risk factors are extracted and displayed through a radiation ring; parallel coordinates are adopted to connect all risk factors; a Sankey chart and a map are adopted for display; attribute parameters are modified through interactive operation, and a multi-attribute ranking result is displayed. The method can be used for performing multi-attribute ranking visualization analysis on pesticide residue data, comprehensive information data and subject data of universities and the like.

The invention discloses an interactive visualization based multi-dimension data analyzing method. The method comprises the following steps: acquiring data to be analyzed; determining attribute dimension to be analyzed and displayed of the data to be analyzed; performing cluster analysis on the data to be analyzed according to the determined attribute dimension; distributing different color to each cluster according to the cluster analyzing result; displaying an integrated map and a parallel coordinate map of the data to be analyzed according to the determined attribute dimension and the color distributed to each cluster; receiving first interaction operation triggered based on the parallel coordinate map, and updating the displayed parallel coordinate map and the integrated map. The invention also provides an interactive visualization based multi-dimensional data analyzing system. With the adoption of the method and the system, the problems that the interaction linking and analyzing of the multi-dimension attribute properties cannot be dynamically analyzed in existing multi-dimension data exploration and analysis, and the spatial distribution mode of the multi-dimension attribute properties and the incidence relation among the attribute dimension cannot be effectively expressed, can be solved.

The invention discloses a method for visualizing multi-dimensional hierarchies on the basis of radial layout. The method is used for defining drawing algorithms for multi-dimensional hierarchy views, and includes firstly, drawing i+1 child nodes child<i+1><T<m> of given parent nodes pNode by the aid of the drawing algorithms for the radial hierarchy views; secondly, mapping n-dimensional data points for each given data set U<m*n> by the aid of the drawing algorithms for circular parallel coordinates to obtain a circular broken line section in a two-dimensional space; thirdly, fusing the views, to be more specific, seamlessly fusing the multi-dimensional hierarchy views by the aid of hollow design strategies Hollow Spiral Models, and analyzing linkage of the views by the aid of interaction designs Detail Outside. The method has the advantages that a high space utilization rate and excellent scalability can be kept, the global radial performance of the layout can be maintained, and the multi-dimensional hierarchy views can be seamlessly fused.

The invention discloses an air quality data visualization system, which comprises a data collection module, a data processing module, a data storage module, an urban air quality data line display module, an urban air quality data map display module and an urban air quality data calendar display module. By use of the air quality data visualization system disclosed by the invention, on the basis of information visualization technological means including parallel coordinates, calendar graphs, time series graphs and GIS (Geographic Information System) Baidu maps, processing is carried out, air quality data can be favorably subjected to classification and analysis processing, and a decision support can be provided for administrative departments. On the basis of the air quality data visualization system disclosed by the invention, overproof pollutant analysis can be carried out, and the calendar graph can be compared to obtain the situations of main pollutants and overproof pollutants.

The invention discloses a method for comparison and visualized analysis of isomorphic hierarchic data and application, wherein an isomorphic tree in a node-link method is used to express a hierarchic structure; layout is conducted in combination with parallel coordinates; and thus, hierarchic relations of data can be shown, and comparative analysis of the data can also be carried out. The method comprises the steps that preprocessing is conducted to the data, and multiple heterogeneous hierarchic datasets are obtained; based on the multiple heterogeneous hierarchic datasets, isomorphic information is extracted through structural integration and branch subtraction, and the isomorphic tree is established; the layout is conducted to the isomorphic tree by a layout algorithm; and in combination with the isomorphic tree layout and a parallel coordinate system, the hierarchic relations of the data can be shown, and the comparative analysis can be conducted to the data as well. According to the invention, the comparative analysis of an attribute value of each node can be carried out; a maximum value, a minimum value, a distribution mode and changing tendency of an attribute value sequence, relations among attributes and the like are involved; and the method is applicable to visualization of MRL data of multiple countries in a food safety field.

A computer system and method provide one or more visualizations to one or more users of a network application. The computer executes a sessionization process that receives one or more Web server logs from one or more online stores, and generates a session table for each session found from requests recorded in Web server logs. A shopping step finder process then receives the session tables and generates one micro-conversion table for each given session table. Finally, a visualization process receives the micro-conversion tables and generates one or more micro-conversion visualizations of the micro-conversions.

The invention discloses a high-dimensional service data oriented hybrid visualization method. The method includes inspecting service combinations at the WSDL (web services description language)and BPEL (business process execution language) language level, parsing information provided by the WSDL and BPEL files, defining that a service set (S1, S2,..., Sn) of a service combination SC includes a plurality of services S, reducing dimensions of multi-dimensional spaces with more than three dimensions in the service set (S1, S2,..., Sn) of the service combinations SC by the aid of a tree structure, taking a service instance Si as a single event corresponding to a certain variable on a time axis, representing the service instance Si of the service sets (S1, S2,..., Sn) by a series of parallel coordinate axes, representing interrelationship between services with an improved parallel coordination view, and performing visualization on internal service data and associated information between the services by a dot matrix which includes node-link graphs and matrixes.

The invention discloses an aircraft position determination method based on a motion recovery structure. The method is characterized in that an imaging device is used to continuously image the terrainunder a track to obtain a motion sequence image; and then a real-time three-dimensional topographic map is restored based on the motion sequence image and spatial three-dimensional coordinates of thepoints on the real-time three-dimensional topographic map under an attitude coordinate system of an aircraft body are obtained. The spatial three-dimensional coordinates of the points on the real-timethree-dimensional topographic map under the attitude coordinate system of the aircraft body are transformed to a parallel coordinate system of the aircraft. The spatial three-dimensional coordinatesof the points on the real-time three-dimensional topographic map under the parallel coordinate system of the aircraft can be converted to a ground reference terrain coordinate system, and finally theposition of the aircraft under the ground reference terrain coordinate system is solved inversely. The aircraft position determination method can accurately measure the position of the aircraft at lowcost and low energy consumption.

Provided is a device for visualization of multi-dimensional data that makes it possible to visualize the distribution of data in an input space for high-dimensional data such that the relationship between input dimensions can be understood. Using inputted multi-dimensional data, a low-dimensional parallel coordinates plot generation means (71) generates a plurality of low-dimensional parallel coordinates plots that are charts in which data related to the dimensions of a section of the multi-dimensional data is represented as a parallel coordinates plot. For each set comprising a pair of low-dimensional parallel coordinates plots, a feature amount calculation means (72) calculates a feature amount that represents the relationship between the parallel coordinates plots that make up the set. A coordinate calculation means (73) calculates the coordinates for arranging each low-dimensional parallel coordinates plot on the basis of the feature amount calculated by the feature amount calculation means (72).

The invention discloses a force-directed segmented bone parallel coordinates plot clustering data bundling method. By adopting the innovative design of the bundling method, a linear layout after the bundling is improved, and a problem of a conventional parallel coordinates plot clustering data bundling method of visual cognition deviation of data distribution characteristics is solved.

A system provides data visualization with the capability of combining parallel coordinates and histograms. Parallel coordinates typically display lines between two or more vertical lines representing a coordinate element. In addition to displaying lines between coordinate element axes, histograms are provided at each element line to indicate the instances of data associated with line values. To create parallel coordinates with histograms, bin values may be determined for the parallel coordinates. Data is then accessed, and a particular bin value is incremented for each data point that falls within the bin. The parallel coordinates are then displayed with the histograms indicating a quantity of data associated with each coordinate value.

The invention discloses a multi-attribute seismic data visualization method based on a continuous parallel coordinate. The method comprises the following steps: adopting an octree hierarchical method for accelerating uniform areas, reducing the drawing times of the uniform areas and increasing the algorithm efficiency; drawing a density map of a parallel coordinate domain and showing incidence relation between multi-attributes; designing a two and three-dimensional linked visual analysis interaction platform, eliminating a complex operation of manually setting a transmission function, screening and selecting the interesting areas on the continuous parallel coordinate and automatically setting the transmission function of each attribute data, thereby prominently showing the selected interesting areas in the result image drawn on the fusion.

A data visualization system with the capability of viewing large amounts of data in a parallel coordinates system. Large amounts of data are displayed in parallel coordinates by grouping together data points by bins and representing grouped data with fewer graphical elements. The fewer graphical elements simplify the graphical representation of the data while still providing information about the density or volume of data occupying a particular space. Bins are determined for each axis. The volume of connections between a pair of neighboring pair of bins may be represented by modifying an aspect of the connection based on the volume.

The invention discloses an analysis system for visually constructing a chart. The system belongs to the technical field of visual chart construction and analysis, the data display report is generatedby rapidly constructing a chart through visual operation, programming is not needed, and the system is simple and easy to learn. The analysis system comprises a chart module, a report module, a map visualization assembly, a tree diagram visualization assembly, a parallel coordinate visualization assembly, a time flow diagram visualization assembly, a mesh diagram visualization assembly, a pie diagram visualization assembly and a broken line diagram visualization assembly. The chart module comprises a chart design module and a chart management module; the report module comprises a report designmodule and a report management module; the visualization operation method of the chart design module comprises the following steps: combining model data provided by a data center platform with each component to generate a target chart, and generating an icon corresponding to the target chart; according to the visual operation method of the report design module, icons designed by the chart designmodule are used, and data display reports of a plurality of charts are generated through dragging.

The invention discloses a parallel coordinate measuring machine controller, and belongs to controller technologies of high-precision and intelligent measurement and control instruments in the precise manufacturing field. A Clipper motion controller card and an industrial control mechanism are adopted to from an open structure, and a speed-position double closed loop control principle is adopted. An upper industrial personal computer is connected with the Clipper card through a network cable; an upper computer is connected with a touch display screen to achieve touch and display. An ACC-1P expansion card is connected with the Clipper card through a PC104 bus in a case of a lower computer to control a parallel coordinate measuring machine with three to eight drive rods adopted. An interface card is connected with the Clipper card and the ACC-1P card through flexible printed boards to achieve optoelectronic isolation of digital signal transmission between external equipment and the Clipper and ACC-1P cards and analog quantity transmission transfer. A handle and a direct-current servo driver are connected with the interface card. The parallel coordinate measuring machine controller is used for carrying out logic control on motion and digital quantity of the parallel coordinate measuring machine and has four measurement modes.

Various systems, methods, and media allow for graphical display of multivariate data in parallel coordinate plots and similar plots for visualizing data for a plurality of variables simultaneously. These systems, methods, and media can aggregate individual data points into curves between axes, significantly improving functioning of computer systems by decreasing the rendering time for such plots. Certain implementations can allow a user to examine the relationship between two or more variables, by displaying the data on non-parallel or other transformed axes.

The present invention proposes a fast positioning method for two-dimensional codes. The method comprises the following steps: S1, obtaining a to-be-processed two-dimensional code image; S2, converting the two-dimensional code image obtained in step S1 into a gray scale image; S3, carrying out median filtering; S4, carrying out edge detection; and S5, carrying out parallel coordinate positioning, wherein the step S5 comprises: S51, mapping the edge image obtained in step S4 to parallel coordinates, S52, rotating the edge image obtained in step S4 along the Y-axis direction, and mapping the rotated edge image to the parallel coordinates; and S53, comparing the distance between each intersection in the image obtained in step S51 with the distance between each intersection in the image obtained in step S52, so that coordinates corresponding to the points with the equal distance jointly describe the area where the two-dimensional code is located. According to the fast positioning method for two-dimensional codes provided by the present invention, in the complex background, fast positioning is carried out on the area where the two-dimensional code is located.

The invention discloses a visual comparison analysis method and system for multi-region maximum residue limit (MRL) standards. An agricultural product classification tree is constructed by adopting MRL standard data from top to bottom, and correlation comparison analysis, detail comparison analysis, index evaluation comparison analysis and overall comparison analysis are achieved in combination with an interactive technology. The system comprises a user interaction module, a user exploration module, an index calculation module and an index visualization module. LPM indexes include a classification hierarchy number L of agricultural products, a related pesticide number P and a record number M of pesticide limit values in a data set, the LPM indexes are quantitatively calculated through weighting, and the accuracy of comparison analysis is improved; by adopting a nested circle, a radar chart, a parallel coordinate and tag cloud, a polyline-column chart and the interactive technology, thedifference in the strict degree of determining the classification conditions of the agricultural products and the coverage range of the MRL standards of the agricultural products at different regionsis quickly discovered. The visual comparison analysis method and system for the multi-region maximum residue limit (MRL) standards can also be used for visual comparison analysis in other applicationfields of multi-dimensional hierarchical data.