41 results about "Data structure diagram" patented technology

Virtual Desktop—Meta-Organization & Control System wherein a real-time-accessible memory media having at least one dynamic substantially cyclic electronic-data structure is associated (by an ongoing algorithmic activity for respectively regularly transforming each process of a plurality of processes running in the environment) into an associated graphic representation, and logically assigns the representation to a location in the data structure—such that for the data structure, a graphic user interface facilitates viewing of the representations assigned to at least one of the data structures and facilitates organizing of the at least one data structure.

A method and apparatus for creating a magnified composite image of a microscope specimen comprises making error corrections for imprecise movements of the specimen relative to an objective lens when capturing data for first and second images. A correction offset is computed based on a comparison of data for overlapped portions of the first and second images and then the specimen is moved through a distance modified by the correction offset for capture of a subsequent tiled image. Image center portions are retained as the data structure tile. The area about the center portion is used to align images and to compensate for stage inaccuracies and to provide a feedback signal for a drive system. Differences in X,Y coordinates for macro and micro view images may be used as navigation offsets to view a selected point for the micro image marked on the macro image.

An on-image navigation guide can be generated utilizing coordinates of table data of a table in a document image. The on-image navigation guide enables a user to populate a data entry form with the table data by interacting directly with the document image. The data entry form is configured with the same number of columns as the table and the document image and the data entry form share the same data structure. The on-image navigation guide is presented on top of the document image. As a user navigates the document image, a focus point of the on-image navigation guide moves from table cell to table cell, providing an immediate visual feedback on what is captured in a corresponding data entry field. The on-image navigation guide includes an on-image context menu and a pin through which the user can make adjustments and / or corrections without leaving the document image.

Disclosed is a system and method for processing graphic operations on a plurality of data structures of an image with a graphics processing unit and memory. The disclosed techniques of the system and method create an accumulation buffer of the data structures for accumulating changes to the data structures. A separate buffer is then created from at least a portion of the data structures of the accumulation buffer. The disclosed techniques read the data structures from the separate buffer with the graphics processing unit. The graphics processing unit operates on the data structures read from the separate buffer with the operation. Then, the disclosed techniques write the results of the operation onto the portion of the accumulation buffer corresponding to the separate buffer.

The invention provides a data structure of a static image file, an image generation device, an image playback device and an electronic camera. A dynamic image generation unit (43) generates the animation data of preset resolution (VGA or QVGA) based on the pixel signal from a shooting element (31) and stores the animation data in a RAM (34). A static image generation unit (42) generates the static image data (SD) of such as preset full resolution based on the pixel signal from the shooting element when the static image is shot during the animation shooting. An animation cutting process unit (45) cuts the dynamic image data (MDcut) in n seconds before and after the static image shooting time (ts) from the dynamic image data (MD) stored in the RAM (34). A document generation unit (46) groups the cut dynamic image data into the head part (Hs) of the static image document to generate the static image document (SF) with the animation.

Data structures, graphical user interfaces, and computer-implemented processes for automation of project management. In an embodiment, data structures are used to associate items with colors and elements. A virtual design board in a graphical user interface can then be automatically or semi-automatically populated with items that are associated with selected color(s) and / or element(s). A user may associate one or more of the populated items with a project, such as a wedding event. The underlying application may be cloud-based and / or be capable of managing clients and projects, processing payments, managing inventory, providing distinct libraries, creating assemblies, automatically generating preparation lists, generating reports, managing contracts, managing interactions, applying machine learning to make predictions or classifications and / or automate tasks, and / or the like.

The invention discloses a method and system for displaying a complex three-dimensional object. The method includes: acquiring a series of images of an object to be modeled and recording the relative coordinates of a viewpoint with respect to the object to be modeled; processing the series of images by using image processing software to obtain a series of images with the same image size and saving the same in a transparent image format; recording a corresponding relation between the viewpoint-to-centre of sphere vector of the object to be modeled and respective images in the series of images by using an XML file; according to the corresponding relation, constructing a program loading model in the form of a data structure diagram; calculating the center of sphere-to-viewpoint rendering vector of the object to be modeled and displaying an image of a viewpoint corresponding to a vector with a minimum included angle to the rendering vector according to the program loading model. The method displays a living vector image model, can save CPU and memory consumption for complex objects, and has a great practical value for running large-scale real-time rendering scenes and improving the smoothness of operation.

The invention discloses a stock data initialization system from a substation graphic model of a dispatching master station to a GIS platform. The stock data initialization system comprises a graphic model adaptive access tool, a graphic model quality inspection tool, a graphic model conversion tool and a graphic model post-processing tool; the graphic model adaptive access tool is used for receiving graphic model data of a dispatching master station system and generating an intermediate data structure; the graphic model quality inspection tool is used for carrying out complete data quality inspection on the graphic model data uploaded by the dispatching master station system; the graphic model conversion tool reads graphic data of the intermediate data structure and converts the graphic data into a GIS platform graphic model object; and the graphic model post-processing tool performs post-processing on the GIS platform graphic model object. According to the method, dispatching automation substation graph models are seamlessly connected to the GIS platform, integrated fusion of the graphic models is achieved, association of the substation graphic models and the equipment ledger is completed, the equipment hierarchical relation meeting the equipment ledger specification is constructed, one-network splicing with power transmission and distribution lines is achieved, and one-network-based service integration application is supported.

The invention relates to a description method of reconfigurable hardware resource in scheduling, which is characterized in that on the basis of a reconfigurable computation model which is built based on a one-dimension part, a resource axis is adopted as a transverse axis, a time axis is adopted as a longitudinal axis, so an R-T coordinate system is established, a reconfigurable hardware task is described as a Ti formation task area, then boundary of a task under execution in the R-T coordinate system is identified, at the beginning, three boundaries exist in the R-T coordinate system, after one task obtains the resource, a rectangular area in the R-T coordinate system can be occupied so as to introduce a new boundary, the new boundaries restrict the arrangement of other task to be scheduled, when arranging the task, at least one of a bottom edge and a left edge or a right edge thereof is close to the existing boundary, then a correspondent boundary node diagram is generated through the mapping of a task boundary diagram, a boundary table data structural diagram is used for describing the node diagram of the boundary, and finally the task scheduling is realized. The description method has the advantages that the information record is less, the maintenance program is simple, and the searching time is short when in scheduling.

The invention relates to the technical field of artificial intelligence, and provides a data structure chart generation and updating method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining to-be-generated data and configuration information; processing the to-be-generated data, and generating a structure information table and a data association information table of each target object; creating a tree structure chart based on the structure information tables and the data association information tables of the multiple target objects; converting the tree structure diagram into a JSON format data list, and importing the data list into a visual rendering framework; rendering the JSON format data in the JSON format data list according to the configuration information to generate a data structure chart; and updating the data structure chart in response to the data structure chart updating instruction. According to the method, the tree structure diagram is updated by matching the data primary key of the corresponding node in the tree structure diagram, the data structure diagram does not need to be reconstructed, and the updating efficiency and flexibility of the data structure diagram are improved.

The embodiment of the invention discloses a directory load balancing method, device and apparatus of a distributed storage system and a computer readable storage medium. The method includes setting directory and depth of directory load balancing rule of metadata server cluster in a client end of a distributed storage system in advance, wherein the path and depth of directory load balancing rule constitute directory load balancing rule data structure, and a plurality of directory load balancing rule data structures constitute a directory data structure diagram. When the target directory balancing rule can be matched by traversing the directory data structure diagram according to the path of the new directory, a request for creating a new directory with an identification parameter is sent tothe metadata server cluster, so that the metadata server cluster polls and selects a target metadata server to provide service for the directory according to the identification parameter. The technical proposal provided by the application scatters the pressure of the mds server cluster, is favorable for improving the data processing efficiency of the distributed storage system, and improves the performance and stability of the distributed storage system.

In the structure for image data having image components of three channels and a transmission ratio component of one channel, the image data structure includes an image area in which the image components of three channels are recorded in a compressed format, and a transmission ratio area which has the same data structure as that of the image area and in which a transmission ratio component and pseudo components of two channels having the same compression format as that of the image components are recorded.

The invention relates to an anomaly point detection method based on a data structure. The anomaly point detection method comprises the steps that a data set is input; a multidimensional binary tree isconstructed according to the data set, and k neighbors closest to each node in the tree are searched through a binary tree search algorithm; the Euclidean distances between the data points are calculated based on a data structure diagram of constructed data points of the multidimensional binary tree and by combining the neighbor relations of all the nodes in the tree; and in consideration of thesimilarity between the data points and the neighbor relationship of the data points in the tree, anomaly points are automatically determined by sorting the calculated Euclidean distances and setting the threshold value p. According to the anomaly point detection method, the performance of anomaly point detection is improved, and the structural characteristics of the data set is better reflected; in addition, the anomaly point detection method is weakly affected by data distribution and data dimension and is wider in application range during practical application, and the problems that in the prior art, the detection accuracy of special points and the detection performance of high dimensional data are poor are solved.

The invention discloses an SIFT algorithm hardware acceleration method based on a DSP platform. The SIFT algorithm hardware acceleration method comprises the following steps: 1) recompiling an SIFT algorithm into a C language program capable of running on the DSP platform; 2) converting the type of the image data, so that the image data processed by the SIFT algorithm is calculated by using a DSPplatform hardware calculation unit to the greatest extent; and 3) optimizing the calculation iteration section of the SIFT algorithm to maximize the use of software and hardware resources of the DSP kernel. According to the SIFT algorithm hardware acceleration method, the calculation speed of the SIFT algorithm is improved through image data structure, image function reconstruction and iterative calculation optimization on the premise of high-precision extraction of image feature point information.

The invention discloses a data inquiry statistics method and a data inquiry statistics system. The data inquiry statistics method comprises the following steps of firstly, establishing a data structure chart according to stored data information; secondly, receiving a data inquiry command; thirdly, generating an inquiry statement by selecting a summary mode and other inquiry conditions according to the data inquiry command; and finally, generating an inquiry result in the data structure chart according to the inquiry statement. According to the scheme, different inquiry results obtained by using different inquiry modes are outputted according to different summary modes by selecting the summary modes in the inquiry statement, the shortcoming that a user is required to export data, process the data again and manually count the data when the user is required to inquire the data by using another method which is different from a built-in method of the system is overcome, the data inquiry statistics efficiency is improved, and the data inquiry statistics accuracy is also improved.

The invention discloses a method for realizing remote upgrading in multi-thread parallel of a concentrator, and relates to a method for realizing multi-thread parallel. The method comprises the following steps: firstly, preparing encrypted tape files; carrying out packet sending on each tape file according to a data structural diagram; defaulting to build seven channel threads in a set C; computing a running situation of sub channels at any time by a main channel during an execution process; managing the channels and performing parallel computation; enabling each sub channel to run independently; dividing a whole big file into a plurality of small data blocks; resending packet replacing data; upgrading multiple devices at the same time; building a block data content format. According to the method for realizing the multi-thread parallel, disclosed by the invention, a remote multi-thread technology is used for equipment remote upgrading of the concentrator; the method is used for realizing automatic upgrading of a multi-thread concurrent device of the concentrator by utilizing an existing gprs (General Packet Radio Service) communication technology according to a storage structure and an upgrading principle of an embedded device.

The invention provides a health file electronic editing method and system and computer equipment. The method comprises the steps that an OpenEHR model data interface is called; a template element in the OpenEHR model is loaded to generate a data structure diagram; a template identification parameter is received, and whether the template identification parameter exists is determined; if the template identification parameter exists, a data template corresponding to the template identification is displayed, and the data template is edited; page data are loaded according to the data structure diagram; and a health file is generated and saved. According to the technical scheme of the invention, on one hand, a modern computer technology and professional knowledge in the field of health care areintegrated, which is beneficial for an information user to easily understand or share the information; on the other hand, the unified and standardized data interface is called, which improves the efficiency of data calling and implements the editing of a health plan template; and the page custom adjustment need of each region which follows the local health file standard is met.

The present application relates to a search method, apparatus, computer device and storage medium based on large data. The method comprises the following steps of: obtaining a data query request; determining a search field according to the data query request; searching nodes corresponding to each search field from the pre-established data structure diagram; generating a data search instruction corresponding to the data query request according to the relationship between the queried nodes; the corresponding data is searched from the database according to the data search instruction. The searchmethod greatly improves the search efficiency, and the search method supports cross-table logical query, and the data corresponding to different search fields are stored in different tables, and can be directly queried at one time, which effectively solves the problem that only single table query is supported in the traditional technology.

A computer implemented method is described for management of development and deployment of a service based architecture. A graph data structure is generated for the development and deployment of the service based architecture. The graph data structure includes multiple layers which include a core layer and a catalog layer. The graph data structure relates an initial tenant and one or more additional tenants or neighboring tenants in the core layer. The management device assigns a catalog data structure to the catalog layer of the graph data structure. The catalog data structure includes addresses for the initial tenant and the one or more additional tenants for respective hosted locations within the service based architecture. A service offering is described as one or more item nodes in the graph data structure. The graph data structure associates the item node to the catalog data structure of the catalog layer and the initial tenant in the core layer. The method receives a request from an external device for the item node, validates the item node from the request using the graph data structure for the initial tenant and the at least one second tenant, and generates a response for the external device in response to the validation of the item node.

The invention discloses a big data fusion method, system and device. The method comprises the following steps: according to a mapping relationship between an entity concept and the original data, an original data structure diagram and a service logic diagram, a data fusion diagram is constructed; and a complicated entity concept in the data fusion diagram is recognized through a center communication sub diagram method, and a complicated entity concept and a data structure diagram set for describing the complicated entity concept are obtained. The system comprises a data reconstruction module and a complicated entity concept recognition module. The device comprises a memory and a processor. With the diagram as a core, the step of recognizing the data fusion diagram through the center communication sub diagram method is added, the data fusion method can thus mine the complicated entity concept and the hidden data structure for describing the complicated entity concept out of the data fusion diagram, and the defect that a more complicated entity concept can not be mined in the prior art can be overcome. The method, the system and the device disclosed in the invention can be widely applied to a data mining field.

The invention provides a data resource arrangement method and device, computer equipment and a readable storage medium. The data resource arrangement method comprises the following steps: acquiring at least one corresponding data resource and all data structure models of each data resource from a resource library according to a data resource adding instruction; establishing at least one output object according to the output object adding instruction, and configuring an output structure model corresponding to each output object; processing all the data structure models and the output structure models through a preset visualization algorithm to generate corresponding data structure graphs and output structure graphs, and displaying the data structure graphs and the output structure graphs on a configuration page; acquiring a configuration relationship between a data structure graph and an output structure graph set by a user in the configuration page; and configuring a relationship between the corresponding data structure model and the output structure model according to the configuration relationship, and generating a corresponding data resource arrangement model. According to the invention, the threshold of data resource arrangement developers can be reduced, and the efficiency of data resource arrangement is improved.

The invention relates to an AI-based abnormal crowd identification method, which comprises the following steps: 1, collecting information, namely collecting all equipment information of equipment appearing on a platform by taking the equipment as a research object; 2, implementing an unsupervised algorithm, and representing the collected data by using a data structure diagram; and 3, implementinga supervised algorithm, and constructing a binary classification prediction model through the data structure diagram in the step 2. The method solves the technical problems that the prior art is obviously lagging since users need to have actual batch abnormal behaviors, it takes a long time to keep and maintain an account, simulation is high, and the dark industry makes profits at one night and then disappears.

The embodiment of the invention provides a fire early-warning method and device, a terminal and a readable storage medium. The fire early-warning method includes: constructing graph data structures between early-warning parameters of early-warning nodes and environment parameters in a target area where the early-warning nodes are located; constructing and training a target graph neural-network model according to the graph data structures; collecting actual environment parameters of the target area, and carrying out data preprocessing on the actual environment parameters; determining early-warning parameters of the early-warning nodes according to the actual environment parameters after preprocessing and the target graph neural-network model; and carrying out fire early-warning according tothe early-warning parameters. The graph data structures are constructed according to the early-warning parameters of the early-warning nodes and the environment parameters in the target area together, and can contain environment parameters with multi-dimension data. The target graph neural-network model is constructed and trained on the basis of the graph data structures, thus accurate fire early-warning can be carried out for the target area in a targeted manner, and reliability of fire early-warning is improved.

The invention relates to a multi-AGV real-time scheduling method based on step length, comprising the following steps: constructing a map data structure and an AGV data structure related to a map, themap data structure representing the connection relationship of each station in the current map, wherein the AGV data structure represents a task path corresponding to the AGV and a driving state anda future driving path state of the AGV. According to the method, the problems that the dispatching system is paralyzed due to deadlock of the AGV and the dispatching waiting time is too long can be effectively solved.

The invention discloses a method for realizing remote upgrading in multi-thread parallel of a concentrator, and relates to a method for realizing multi-thread parallel. The method comprises the following steps: firstly, preparing encrypted tape files; carrying out packet sending on each tape file according to a data structural diagram; defaulting to build seven channel threads in a set C; computing a running situation of sub channels at any time by a main channel during an execution process; managing the channels and performing parallel computation; enabling each sub channel to run independently; dividing a whole big file into a plurality of small data blocks; resending packet replacing data; upgrading multiple devices at the same time; building a block data content format. According to the method for realizing the multi-thread parallel, disclosed by the invention, a remote multi-thread technology is used for equipment remote upgrading of the concentrator; the method is used for realizing automatic upgrading of a multi-thread concurrent device of the concentrator by utilizing an existing gprs (General Packet Radio Service) communication technology according to a storage structure and an upgrading principle of an embedded device.

The invention discloses a coding method, system and equipment in a project based on asynchronous programming and a medium. The method comprises the following steps: acquiring target project data; determining a data structure chart corresponding to the target project data; executing a processing thread set according to the first data module and the second data module; and detecting whether a to-be-processed second data module in the currently executed processing thread is a root node or not, and if not, continuing to execute data processing operation of other second data modules depending on the second data module in the processing thread. According to the method, data are stored through object attributes, so that high-cohesion modularization is realized on one hand, and a flexible and efficient cross-module data access function is realized on the other hand; according to the automatic service arrangement realized based on modularization, flexible up-and-down transmission of data between modules is realized, and hard coding and maintenance work of service arrangement is saved.

The invention discloses an in-situ XRF reading evaluation and screening method based on a data structure. The method comprises the following steps: a) determining the detection limit of each element;b) performing in-situ measurement; c) standardizing all readings (readings / detection limits) with the respective detection limit of each element; d) segmenting the result of c) at certain intervals; e) counting the frequency of the reading of each section; f) drawing a data structure chart by taking the segmented intervals as abscissa and frequency as ordinate; and g) evaluating, screening and standardizing the data structure of each element reading according to the data structure of each element reading, the larger the data span interval is, the more suitable the measurement result is, and ifthe data structure of each element reading is only in one interval, the data distribution is centralized, and the measurement result should be carefully used for trend analysis. According to the method, rapid evaluation and screening of in-situ XRF readings can be realized, and an effective data processing scheme is provided for lithology description, mineral exploration, pollution investigationand other applications related to element concentration trend searching. The method is suitable for batch data processing of instruments with an in-situ XRF analysis function, such as a portable X-rayfluorescence analyzer (PXRF), a core scanner (ITRAX) and the like.

The invention provides a determination method and device of a zone load data acquisition point. A first node with maximum electric quantity data in a data structure chart of a target power distribution zone is determined by a first set generated according to a node data table and is used as a zone load data acquisition point for installing load data acquisition equipment, the problem of too many sets of load data acquisition equipment installed caused by the zone load data acquisition point arranged for a user is solved, the first set is updated if the recorded numbers of the zone load data acquisition points do not reach preset acquisition points, so that the other zone load data acquisition point is determined again until the recorded numbers of the zone load data acquisition points reach the preset acquisition points, the setting numbers of the zone load data acquisition points are reduced on the basis of completely acquiring electric quantity data of the user, and the time of acquiring electric quantity data of all users in a power distribution zone is reduced to improve zone load data acquisition efficiency.

The invention discloses a feature clustering method based on a self-adaptive chart filter. The method comprises the following steps: step one, feature data normalization, unitizing the features at thesame dimension; step two, feature data label recording, providing a certain amount of prior knowledge; step three, constructing a chart signal based on a data source, mapping the data to a data structure chart, and acquiring an initial chart signal s(known); step four, total-variation smooth filtering, acquiring the noise-reduced chart signal s (true); step five, chart filter self-matching, acquiring a tap array h; and step six, global filtering, acquiring a classification result s(pred). Through the method disclosed by the invention, the utilization on the prior knowledge can be enhanced, and a new chart signal weight side is constructed.