143 results about "Graphic analysis" patented technology

According to the invention, techniques for visualizing customer data contained in databases, data marts and data warehouses. In an exemplary embodiment, the invention provides a system for graphically analyzing relationships in data from one or more data sources of an enterprise. The system can be used with many popular visualization tools, such as On Line Analytical Processing (OLAP) tools and the like. The system is especially useful in conjunction with a meta-model based technique for modeling the enterprise data. The enterprise is typically a business activity, but can also be other loci of human activity. Embodiments according to the invention can display data from a variety of sources in order to provide visual representations of data in a data warehousing environment.

Embodiments disclosed herein provide systems and methods for a unified analytics environment. In a particular embodiment, a method provides, handling a plurality of relational functions within a relational analytics environment. The method further provides, while handling the plurality of relational functions, encountering at least one graph function that comprises a query intended for a graph analytics environment. The method further provides, in response to encountering the at least one graph function, communicating with the graph analytics environment to handle the at least one graph function.

According to the invention, techniques for visualizing customer data contained in databases, data marts and data warehouses. In an exemplary embodiment, the invention provides a apparatus for graphically analyzing relationships in data from one or more data sources of an enterprise. The apparatus can be used with many popular visualization tools, such as On Line Analytical Processing (OLAP) tools and the like. The apparatus is especially useful in conjunction with a meta-model based technique for modeling the enterprise data. The enterprise is typically a business activity, but can also be other loci of human activity. Embodiments according to the invention can display data from a variety of sources in order to provide visual representations of data in a data warehousing environment.

The invention belongs to the technical field of industrial big data application, and particularly relates to an industrial big data multidimensional analysis and visualization method based on a JSON document structure. The method comprises the following steps: by taking JSON as a basic carrier of data, constructing an industrial data mart in parallel by utilizing Spark and ElasticSearch through configuring a relational database and a file system data source and defining data conversion and data cleaning operations; configuring an overall process of data analysis in a graphical mode to construct an analysis data set of a multi-dimensional structure, and repeated association operation on massive data being avoided; and for a specific data analysis scene, customizing each dimension calculation index of the data analysis report in a visual dragging mode based on a pre-constructed multi-dimensional analysis data set, and generating an interactive graphic analysis report. According to the method, the JSON document format is used as a carrier of basic data, and the advantages of the JSON document format in storage and analysis are utilized, so that multi-dimensional analysis structure modeling and user-defined interactive analysis are more convenient and efficient.

A freeform surface included collimation lens is provided, which is designed through a freeform surface design process to provide an integrally-formed unitary structure. The design method includes a step of identifying an optic field pattern of light source, a step of performing graphic analysis of freeform surface tangential vector formula, a step of acquiring freeform surface control point, a step of constructing a three-dimensional model, and a step of performing geometric processing. Through these steps, tangential vectors of control points of each freeform surface are determined and an approximating process or an exact solution process is adopted to determine the coordinates of the points of the freeform surface. Three-dimensional modeling software is then employing to construct an ellipsoid collimation lens, which realizes an optic collimation performance of at least 88% when tested with a circular disk set at a distance of 200 meters and having a diameter of 35 meters.

Methods, systems, and apparatus profile the processing of a graphics application. Performance data of a processing graphics application is monitored and dynamically presented on a display of a viewer at defined intervals. The performance data includes hardware and driver performance data for the processing graphics application at the defined intervals. The viewer can inspect the performance data for purposes of customizing the graphics application for a targeted hardware and software platform.

According to the invention, techniques for visualizing customer data contained in databases, data marts and data warehouses. In an exemplary embodiment, the invention provides a method for graphically analyzing relationships in data from one or more data sources of an enterprise. The method can be used with many popular visualization tools, such as On Line Analytical Processing (OLAP) tools and the like. The method is especially useful in conjunction with a meta-model based technique for modeling the enterprise data. The enterprise is typically a business activity, but can also be other loci of human activity. Embodiments according to the invention can display data from a variety of sources in order to provide visual representations of data in a data warehousing environment.

The invention discloses a ship collision risk and risk degree evaluation method capable of associating with avoidance behaviors. The method comprises the following steps that: establishing a ship potential risk evaluation threshold value SDA (Safe Distance of Approach) quantization model, a ship potential risk evaluation model, a ship collision risk degree judgment threshold value model and an initial reference ship judgment model; through the established models, carrying out avoidance effect prediction on an approach situation and an avoidance scheme; if the avoidance effect is under a safe,secondary safe or under-safe level, proving that the avoidance scheme is feasible; and if the avoidance effect is under an unsafe level, starting an immediate risk coordination avoidance scheme. Through the above method, an urgent degree of a current ship to adopt a measure under a current approach situation can be evaluated, and the avoidance effect of an avoidance decision formed through a PIDVCA (Personifying Intelligent Decision-making for Vessel Collision Avoidance) decision algorithm can be evaluated to guarantee that the current ship is safely avoided. Objectivity and subjectivity are combined, the practical approach scene is comprehensively considered through ship relative motion vector geometric graphic analysis, a redirection avoidance behavior is associated, and a final avoidance decision is safe, economic and scientific.

A query on a graph database can be efficiently performed employing a combination of an abstraction program and a graph analytics appliance. The abstraction program is generated from a query request employing an abstraction program compiler residing on a computational node, and includes programming instructions for performing parallel operations on graph data. The graph analytics appliance receives or generates the abstraction program, and runs the abstraction program on data fetched from a graph database to generate filtered data that is less than the fetched data. The filtered data is returned to the computational node. The bandwidth between the graph database and the graph analytic engine can be greater than the bandwidth between the computational node and the graph analytic engine in order to utilize processing capacity of the graph analytics appliance.

The invention provides a quantitative image evaluation system of breast lesions and an application method thereof. The quantitative image evaluation system adopts fractal technology and graphic analysis in tumor medical image analysis and tumor hazard rate evaluation, establishes and adopts a nonlinear data model for growth and diffusion of breast lesion cells. The nonlinear data model comprises morphological characteristic parameters of growth, diffusion and calcification of mammary tumor cells and clinical parameters as well. The quantitative image evaluation system of breast lesions of the invention adopts the nonlinear data model for growth and diffusion of breast lesion cells and comprises the morphological characteristic parameters of growth, diffusion and calcification of mammary tumor cells and the clinical parameters as well, calculates predictive values of benign and malignant breast lesions by mammography and predictive values of tumor cell classification; therefore, the quantitative image evaluation system can be widely used in mammography diagnosis and mammography screening.

A method and apparatus for processing unique dialogs from a dialog system to identify paths through the dialog system, each unique dialog having a corresponding identified path and generating a visual call flow representation as a function of the identified paths of the dialog system, the call flow representation including nodes and edges connected to correspond to the identified paths.

A positioning system comprises a pattern projector (70) for projecting a 2D / 3D pattern (45) onto an object surface. The 2D / 3D pattern (45) is detected by a detector (80, 85), which generates a detection signal that is employed by a pattern analyzing circuit (110) for generating a surface representation of the object surface. A correction analyzing circuit (130) generates a correction signal representative of a discrepancy in position and / or posture of the surface representation relative a stored reference surface representation. The correction signal is employed to generate information (55, 56) that is projected by a light projector (70, 75) onto the object surface. The projected information (55, 56) is indicative of the determined discrepancy in object position and / or posture.

Waveform data, such as reflection seismic data, is filtered by concurrently analyzing various phase angles of the data. The various phase angles of the data are compared to phase rotated background trends and the phase angle producing the maximum deviation from the equivalent background trend is selected as the optimum phase angle for predictive analysis or exclusion filtering.

A method and apparatus for processing unique dialogs from a dialog system to identify paths through the dialog system, each unique dialog having a corresponding identified path and generating a visual call flow representation as a function of the identified paths of the dialog system, the call flow representation including nodes and edges connected to correspond to the identified paths.

A query on a graph database can be efficiently performed employing a combination of an abstraction program and a graph analytics appliance. The abstraction program is generated from a query request employing an abstraction program compiler residing on a computational node, and includes programming instructions for performing parallel operations on graph data. The graph analytics appliance receives or generates the abstraction program, and runs the abstraction program on data fetched from a graph database to generate filtered data that is less than the fetched data. The filtered data is returned to the computational node. The bandwidth between the graph database and the graph analytic engine can be greater than the bandwidth between the computational node and the graph analytic engine in order to utilize processing capacity of the graph analytics appliance.

One embodiment of the present invention provides a system for generating a product recommendation. During operation, the system receives graph data indicating vertices and edges of the graph. The vertices represent customers and products and the edges represent purchases. The system then receives a query of the graph to determine a product recommendation. Next, the system generates a finite-state machine (FSM) based on the query, executes the query, and determines whether a current state of the FSM is a traversal state. In response to the current state being a traversal state, the system generates a traversal FSM. The system then searches the traversal FSM for a nearest future traversal state, generates a bitmask for the future traversal state, and utilizes the generated bitmask when executing the future traversal state to generate the product recommendation.

The invention provides a breast lesion quantitative image evaluation (CAD) system and an application method thereof. The breast lesion quantitative image evaluation system adopts image data of a fractal technology, pattern analysis, and the like to extract an excavating mean and a mathematical modeling algorithm, combines clinical data to establish a breast lesion grown diffusion nonlinear data model and is applied to tumor medical image analysis and tumor disease risk evaluation. The nonlinear data model comprises the clinical parameters of breast tumor grown diffusion state characteristic parameters, calcific state characteristic parameters, breast surface characteristic limitation asymmetric compaction comparison, nipple retraction, pachyderma, structural distortion, and the like. The breast lesion quantitative image evaluation system has a full-graphical interface, can lead a molybdenum target, nuclear magnetism and ultrasonic image data in and is convenient and quick in operation(one-key operation). By the CAD system, a benign-malignant forecasting numerical value and a tumor classification forecasting value of breast molybdenum target piece (nuclear magnetism and ultrasonic) lesions can be calculated, and results of the benign-malignant forecasting numerical value and the tumor classification forecasting value can be applied to breast image auxiliary diagnosis and breast filming screening.

Systems and methods for cognitive alarm management in a power grid are described. In one embodiment, sensor measurements are transformed to determine the state of a power grid. Given current state information relating to the power grid, various analyses of the alarms may be conducted to produce various rankings of the alarms (e.g., by severity, graph analyses, etc.). In an embodiment, using power flow analysis, an optimal ranking is identified from the rankings in which a causal alarm is prioritized for resolution. Given the resolution of the causal alarm, remaining alarms (either all or a sub-set) may be resolved without further action. Thus, an embodiment provides an appropriate ranking of alarm conditions in a power grid such that the optimal resolution of alarms may be achieved. Other variants and embodiments are broadly contemplated herein.

The invention relates to an error lock-resistant logic rule generation and check system characterized by comprising an input-output module, a graphic editing module, a typical interval model library, a graphic analysis module, an abstract logic formula library, an abstract logic formula rule library and a logic formula generation module. With built-in transformer stations, various typical wiring models and a general five-prevention logic formula, after concrete transformer station main wiring information is read, the main wiring information can be matched with a system built-in typical device wiring model; then the general five-prevention logic formula corresponding to a matching result can be changed into practical device information and then output, and a concrete five-prevention logic formula can be acquired; further, the automatically-generated logic formula and the well-edit logic formula are checked; and problems of low transform station five-prevention logic formula writing and checking efficiency, poor reliability and incapability of self-reliability prove can be solved.

The invention relates to the technical field of education and teaching, and provides a geometrical stereoscopic graph projection device and projection method. The projection method comprises the following steps that a two-dimensional plane graph is obtained; whether the two-dimensional plane graph is a geometrical stereoscopic graph or not is judged, if so, one point in a located interface of the two-dimensional plane graph is selected to be used as the original point of a two-dimensional coordinate system, and a boundary point coordinate of the two-dimensional plane graph is measured according to the original point of the two-dimensional coordinate system; the boundary point coordinate of the two-dimensional plane graph is subjected to coordinate transformation, and the three-dimensional coordinate of a boundary point is obtained; a three-dimensional stereoscopic graph is obtained according to the three-dimensional coordinate projection of the boundary point. The simple geometrical stereoscopic graph is subjected to graph analysis, processing and conversion, the stereoscopic graph with the three-dimensional effect is projected, the interactive competence of teaching is improved, the stereoscopic graph can finally help students to understand the three-dimensional stereoscopic graph, and the space imagining ability of students is improved.

The invention discloses a graphic analysis method for optimization configuration of a lightning arrester on a 110kV / 220kV power transmission line. The method comprises: firstly, performing ATP simulation on a key section of the power transmission line by adopting an electromagnetic transient simulation program in combination with parameters of the power transmission line and a power transmission line tower; secondly, calculating a critical value of lightning stroke current causing back flashover, and comparing lightning protection effects in different lightning arrester configuration densities before and after configuration of the lightning arrester; and finally, visually recording a situation that the flashover occurs to the tower in a forms mode for different lightning arrester configuration modes and different lightning stroke positions, and visually observing a lightning flashover probability of the section of the line to obtain the optimization configuration of the lightning arrester on the 110kV / 220kV power transmission line. The graphic analysis method belongs to a statistic analysis method for graphically analyzing a flashover situation of the tower, is suitable for statistic analysis of lightning stroke flashover of lines with different span lengths, different lightning stroke points and different lightning arrester configuration densities and modes, and is visual, easy to understand, simple, clear and easy to apply and popularize.

The invention discloses a motor vehicle right-turn comity pedestrian analysis snapshot system based on deep learning. The system comprises a video stream access module used for accessing video streamsof a road monitoring system, a GPU graphic analysis module used for performing video decoding on the video streams accessed by the video stream access module to obtain video data, and a deep learningalgorithm module used for analyzing the video data of the GPU graphic analysis module and performing snapshot and evidence obtaining on illegal behavior vehicles which do not avoid pedestrians duringright-turning. According to the system, the problem that a conventional electronic police system and an ordinary video monitoring system fail to analyze and take snapshots of the illegal vehicles which do not avoid pedestrians is solved.

The invention discloses a pipeline three-dimensional reconstruction method based on an axonometrical drawing. The method comprises the steps of firstly conducting diagram preprocessing on a pipeline axonometrical drawing, and maintaining the connectivity among pipe sections in an original pipeline; then extracting coordinate data of each pipe section in the preprocessed pipeline axonometrical drawing; once again, conducting coordinate transformation on the extracted data according to a projection rule of an isometric drawing and a diagram data storage format of AutoCAD, that is, transforming two-dimensional geometric data in the axonometrical drawing into three-dimensional geometric data, and judging the connectivity among the pipeline sections; finally, achieving the pipeline three-dimensional model construction according to the judged connectivity among the pipeline sections and the transformed coordinate data of the pipeline sections. According to the pipeline three-dimensional reconstruction method based on the axonometrical drawing, the three-dimensional reconstruction is conducted by adopting a diagram analyzing technology, the pipeline three-dimensional model construction based on the pipeline axonometrical drawing can be achieved, and the method is strong in practicability and operability.

The invention provides a reliability detecting and evaluating method of a power distribution system on the basis of a cloud model. The reliability detecting and evaluating method includes steps of searching line fault rate of a power distribution system to be detected and evaluated and historic statistics data of the fault rate of transformers; processing in standardization; calculating the cloud model digital characteristics of the line fault rate and the fault rate of the transformers by means of a backward cloud generator; calculating cloud droplets of the line fault rate and the fault rate of the transformers by means of a forward cloud generator; processing in inverse standardization; calculating reliability of the power distribution system by the feeder line partitioning algorithm to obtain values SAIFI, SAIDI and ASAI of the reliability of the power distribution system; drawing the values into diagrams and analyzing the reliability of the power distribution system to be detected and evaluated according to the diagrams. By the reliability detecting and evaluating method, qualitative laws of the parameters can be obtained, and the reliability of the power distribution system can be quantitatively detected and evaluated. In addition, the reliability detecting and evaluating method is good in universality and applicable to reliability detection and evaluation of the complicated power distribution system.

Systems, software, and methods are described herein dynamically generate traversal code for a graph analytics environment. In one example, a method of dynamically generating traversal code for a graph analytics environment includes, in one or more processing systems, identifying a query expression for a relational analytics environment. The method further includes generating the traversal code for the graph analytics environment based on the query expression, and executing the traversal code in the graph analytics environment on a graphical database. The method also provides communicating results of the traversal code to the relational analytics environment.

The invention relates to a device using the graphic input to complete an operation and a method thereof. The device using the graphic input to complete the operation comprises a storage module for storing characters and input graphs, a graph analyzing module for analyzing characteristics of the input graphs, an operation selection module for selecting the corresponding operation according to an analysis result of the characteristics of the input graphs, and an operation execution module for executing the corresponding operation. The method using the graphic input to complete the operation comprises the steps of: inputting the graphs for completing the operation in a paragraph or the characters; analyzing the characteristics of the input graphs; selecting the corresponding operation according to the analysis result of the characteristics of the input graphs; and executing the corresponding operation. The device and the method make text edition interaction more convergent to the conventional pens and paper in operation experience, and have the advantages of quicker operation and less learning compensation.

The invention discloses a time series data graphics analysis method based on automatic coding technology with packet loss. The time series data graphics analysis method comprises the following steps: 1) data preprocessing: converting time series data into a specific image format; 2) pre-training: extracting the graphic features of a time series through the automatic coding technology with the packet loss; 3) classifier training: carrying out classifier training to coding machine weight and a training sample class identifier in a pre-training process; and 4) application: realizing the functions of similarity matching and classification of the time series by utilizing the trained classifier. A defect that a traditional time series analysis method is very sensitive to data change since the traditional time series analysis method pays attention to the data feature of the time series is overcome, and a visual processing method of the time series data by people is simulated. On an aspect of the similarity matching, the invention exhibits high accuracy and low time complexity. In classification, high classification precision is guaranteed, and the invention also exhibits good universality and robustness to different types of time series data.

The invention discloses an unsaturated soil moisture diffusivity measuring method based on perfect nonlinear flow process response. The method includes the steps: measuring moisture diffusivity in the horizontal infiltration absorption process, and measuring moisture diffusivity in the horizontal penetrating process; measuring total water infiltration amount and water contents at horizontal positions in a horizontal soil column in the infiltration absorption process; drawing a theta-eta relationship curve, and amending the theta-eta relationship curve based on measured values; dividing the theta-eta relationship curve according to a certain theta value, and solving a D (theta) value by a graphic analysis method before boundary effluent is formed; transforming the horizontal infiltration absorption process into the horizontal penetrating process, measuring soil matrix potentials at different positions and right boundary fluxes, and determining a diffusion coefficient after the boundary effluent is formed. The measuring method solves the problem that the testing principle of an existing testing method needs to control approximate linearization of an unsaturated moisture diffusivity D (theta)-theta non-linear relationship and measuring errors, information is clear and visual, and the measuring method has originality in the field.

The invention discloses monitoring system and monitoring method for switching process of a shunt power capacitor. The monitoring system comprises a power quality monitoring terminal, a data storage unit and a capacitor switching process monitoring module; the power quality monitoring terminal is used for realizing collection on steady-state power quality data and transient-state power quality data; the data storage unit is used for storing data uploaded by the power quality monitoring terminal; and the capacitor switching process monitoring module is used for realizing data analysis, and the content of the main technology comprises reactive power / voltage / power factor variation statistics, reactive power / voltage / power factor trend analysis, transient-state event graphic analysis, capacitor switching time number statistics, and harmonic impedance computation.

The invention relates to a method for supervising an operator on duty by adopting a graphic analyzing and tracking algorithm. The system comprises a supervising end (a camera and a supervising device) and a control center. According to the working principle, a graphic analyzing and tracking algorithm program is written in a supervising device and comprises a mean value-based background extracting algorithm, a Euclidean distance background algorithm, an RGB space-based shadow eliminating algorithm, a segment coding algorithm and a prediction-based motion tracking algorithm. An image obtained by the camera is identified by the algorithm to judge whether people exist, if so, the timing is not needed, and if not, the timing is started; and people is identified during the timing process and the timing is cleared, and no people is identified during timing and the timing is accumulated, an unattended supervising signal is sent to the control center when the accumulated timing reaches a set time parameter.