83 results about "Tree diagram" patented technology

The present invention provides a method and system for constructing a labeled treemap with balanced layout. The method comprises: determining a range of possible densities of leaf nodes based on designated weights of the leaf nodes and a designated treemap region, wherein the density of a leaf node is the area of region on one unit of weight occupied by the leaf node; searching the rang of possible densities for a density that could be fitted on and a labeled treemap that could fit on the density, wherein said density that could be fitted on is referred to that there is at least a labeled treemap for the density in which the area of region occupied by each leaf node is at least the product of the weight of the node and the density; and presenting the labeled treemap on the specified display region. By introducing the concept of density into labeled treemap, the present invention ensures the area of region occupied by each leaf node in the constructed labeled treemap is approximately corresponding to the weight of the node, and avoids the case of invisible leaf node in the treemap.

The invention belongs to the technical field of dam safety reconnaissance, and discloses a comprehensive evaluation method for the dam safety. The method comprises the following steps that 1, a hierarchical structure model of a dam safety system is constructed to generate a tree diagram which takes an objective layer and a criterion layer as a father-son relationship and takes the criterion layer and a factor layer as a father-son relationship; 2, weights of all factors are obtained on the basis of an analytic hierarchy process; 3, objective weight values of all the factors are obtained on the basis of an entropy weight method; 4, a comprehensive weight of indexes is calculated; 5, the evaluation conclusion membership degree is judged; 6, comprehensive evaluation is performed on the dam properties. According to the comprehensive evaluation method for the dam safety, expert knowledge, engineering experiences and measurement data can be utilized more fully, and the dam working properties can be analyzed and evaluated more comprehensively and thoroughly; in addition, an algorithm is clear, easy to achieve and good in robustness, and the method can serve as a more reliable decision aid mean in dam safety management.

The invention discloses a state machine information realizing and managing device. The state machine drawing process, the state machine modifying and state machine information managing process are included. According to the technical scheme, the process includes establishing a state machine; drawing each state of the state machine according to preset rules; performing connecting layout according to each state of the drawn state machine according to the layout algorithm of the preset rules; managing the layer relationships among the states of the state machine through the tree structure; utilizing a two-dimensional table structure to perform supplementary description for triggered events and connecting weights of the state machine. According to the device, the basic units of the state machine are grouped according to special rules, the groups are converted into nodes of a tree diagram, the structural relationship information of the tree diagram is stored in tree diagram relationship tables, the layer state machine can be realized conveniently, conversion between the state machine and the tree diagram is simple and easy to implement, and the state machine can be known rapidly by layering the states.

A computerized method of visualizing the collective opinion of a group regarding one or more qualitative issues. The group initially selects N issues from the universe of potential issues and often assigns the issues images and titles. The system presents each user with graphical user interface screens wherein individual users vote on the relative importance and degree of relationship between the N aspects (Data Points) and issues, often using drag and drop methods. The software computes N×N similarity matrices based on users voting input and clusters various aspects into groups of greater and lesser similarity and importance, and presents results of users qualitative ranking in easy to read relationship tree diagrams where the relative importance and qualitative relationship of the issues may be designated by size and other graphical markers. The software may reside on a network server and present display screens to web browsers running on user's computerized devices.

The invention provides a method and a device for automatically guiding recovery processing flow in real-time. The device displays corresponding failure flow in real-time according to the current data dynamic state, automatically judges the failure state, and automatically rightly indicates executed troubleshooting operation, executing troubleshooting operation and troubleshooting operation to be executed in the next step, thereby helping the troubleshooting personnel rapidly and rightly complete the whole recovery processing flow, lowering risks of the error operation and leakage operation, and shortening the whole troubleshooting time. The invention comprises a method of organizing, describing, storing and analyzing failure knowledge, and the method and the device for automatically guidance through dynamically displaying the recovery processing flow and the failure state by a computer system. The computer system comprises a failure knowledge editing module and a real-time failure guiding module, and necessary components such as a primitive entity attribute page, a real-time data analysis and identification component, a tree diagram component, a figure diagram component, a failure knowledge component, and the like.

The invention discloses an iterative compilation optimization method based on program characteristic analysis. The method comprises the following steps that: S1: classifying compilation options in a compiler according to functions; S2: constructing a relational tree diagram; S3: carrying out dataset testing on a target program, and collecting and arranging testing results; S4: analyzing the testing results, and extracting the program characteristic and the calling relationship of the target program; S5: according to the program characteristics of the target program, finding a corresponding compilation option category, and forming an iterative search space; S6: in the iterative search space, taking the category as a basis to carry out local optimal search to obtain a global optimal solution; and S7: saving, and ending. By use of the method, program characteristic analysis is combined with a local search algorithm to fully consider an influence among all compilation options while the search space is greatly reduced. Compared with an existing method, the method disclosed by the invention can find an optimal compilation option sequence suitable for the target program.

A method of carrying out a certain action on a model, such as a business measures model (BOM Observation Model), wherein the model includes a plurality of elements, the or each of which represent a part of the model, the method comprising extracting each element of the model using a element extraction process; determining a logical grouping for each extracted element; determining one or more parameters relating to each extracted element; determining a hierarchy of the extracted elements to produce a hierarchical tree diagram of the extracted elements of the model based on the logical grouping; including the or each parameter with each extracted element in the hierarchical tree diagram; and using the hierarchical tree diagram to access the one or more parameters of each element to allow the certain action to be carried out.

According to one embodiment, an information processing apparatus includes a memory unit which stores attribute information which indicates a characteristic quantity of each of components constituting a product, and parent-child relationship information which indicates a parent-child relationship between the components, a unit which calculates positions on a tree diagram of nodes corresponding to the components, a unit which calculates, for each of the components, a sum of the characteristic quantity of the component and the characteristic quantities of all child components belonging to the component, a unit which determines, for each of the nodes, a mode of a branch line which is to connect the node to a parent node thereof, based on the sum calculated for each of the components, and a unit which creates the tree diagram based on the calculated positions of the nodes and the determined mode of the branch line corresponding to each node.

The invention discloses a digital currency flow direction tracking method in a block chain, and relates to the technical field of block chains and digital currencies. The digital currency flow direction tracking method comprises the following steps: labeling a user address of an exchange or a transaction platform and analyzing data on a chain of a to-be-checked or to-be-monitored address, whereinthe user address label is used for analyzing a general ledger address and monitoring, analyzing and cleaning the general ledger address, and the on-chain data analysis is used for capturing an associated transaction address from the on-chain to-be-checked data, displaying the associated transaction address in a tree diagram, performing reverse upward tracing to obtain user information of the transaction address, and marking relevant user identity information in an information county by a supervision department. By analyzing the transaction data, analyzing the fund flow direction and tracking the identity information of the transaction user, the occurrence of illegal financial crimes engaged in digital currency is reduced and prevented, and the effective identity information and case cluesof anonymous traders can be provided for related departments for the occurred events, so that the supervision effectiveness and efficiency are improved.

The embodiment of the invention provides a test case application method and a related product. The method comprises the steps of collecting a first test case selected by a target object in a test case library, taking the first test case as a root node of the tree diagram, and obtaining other test cases associated with the first test case and an association relationship, generating at least one tree diagram according to the incidence relation and other test cases, and generating a loading directory corresponding to the tree diagrams based on the subordination relationship among the root nodes in each tree diagram, so as to display a target tree diagram corresponding to the target entry based on the user triggering information. According to the technical scheme, when any test case is selected by the target object, the tree diagram with the first test case as the root node can be automatically generated, the tree diagram is displayed, then the relationship between the case libraries is determined through display, test case brain diagram display of any granularity is completed, the data display efficiency can be improved, and large-capacity test cases are managed in a unified manner.

System, toolbox and method are disclosed for a computer-automated process / procedure mapping system that guides development and use of decision-making and knowledge-acquiring processes. The process mapping system comprises a decision-tree diagram with templated decisional logic blocks configured for dropping selected questions therein, a question bank that stores plural questions on a given topic, a process creation mechanism coupled between the question bank and the decisional logic blocks to produce a process diagram based on a series of questions selectively sequenced by and conditioned on future responses thereto produced by a user, the process diagram comprehending conditional response paths, and a process engine coupled with the process diagram that is configured to interpret the decisional logic blocks and their response paths and to guide a user through a sequence of selected questions and responses made thereto during a diagnostic and prescriptive use session.

The invention particularly relates to an application template configuration method based on a tree structure. The application template configuration method based on a tree structure is based on an Angular language and an ng-zorro-antd framework, and comprises two classes of json2Tree and tree2Json; the method comprises the steps of converting a YAML format file into a JSON format, traversing configuration items in the JSON format, drawing a tree diagram, guiding a user to performing template configuration in a tree diagram mode to enable the template to support editing, storage and format conversion, and forbidding the user to modify names of the configuration items. According to the application template configuration method based on the tree structure, the user is forbidden to modify thename of the configuration item, so that configuration errors can be prevented; a hierarchical structure of configuration is more clearly displayed through a tree structure, so that the user can browseand search configuration items conveniently; data types are distinguished by using different color labels, so that a user can conveniently check the legality of configuration parameters; mutual conversion between files of different formats can be achieved, more modes can be provided for a user to configure the template, and the flexibility is improved.

The invention discloses a tree diagram-based data similarity matching method and apparatus. The method comprises the steps of S1, for data needed to be subjected to similarity matching, establishing atree diagram taking the data as part of nodes; S2, based on an information quantity, performing similarity calculation on the data; S3, based on attributes, performing similarity calculation on the data; and S6, performing weighted calculation on data similarity to obtain overall similarity. The apparatus comprises corresponding tree diagram establishment unit, information quantity-based similarity calculation unit, attribute-based similarity calculation unit and overall similarity calculation unit. Therefore, more accurate overall similarity can be obtained in combination with multiple factors influencing the data similarity.

The invention relates to the technical field of software testing, in particular to a stability testing method and system based on control arrangement. The method comprises the steps of obtaining an interactive control of an initial page; analyzing the function of each obtaining control to obtain a skipping control; skipping to other pages through the skipping control, and arranging all obtained interactive controls into a tree structure; after a tree structure is obtained, analyzing the tree diagram by proper traversal algorithms; comparing traversal analysis results to select a traversal algorithm with short traversal time; and performing a traversal test by using the selected traversal algorithm. The method and the system have the advantages of comprehensive test, good integrity, easiness in jumping to the next page in traversal work and high working efficiency, the traversal algorithm is selectively executed, the test workload and the test time are reduced, the test efficiency is improved, and the test cost is reduced. The technical defects that an existing stability test is incomplete in test, not prone to page turning and large in test workload are overcome, and the software test requirement is met.

The embodiment of the invention discloses a website page flow analysis method and system. The source and the destination of the website traffic are clearly displayed in the form of a tree diagram; theflow path of the website flow can be mastered, the flow condition of each page can be analyzed from the global perspective, the flow condition of the website flow can be timely and completely known,the website can be better helped to analyze and optimize the website flow, the flow abnormality can be found in time, and the flow abnormality problem can be solved in time. The method comprises the following steps: burying points on a website page according to different levels of the website page to form a page name; according to the website page subjected to point burying, collecting user flow data, wherein the user flow data comprises a page name; and obtaining a website page traffic analysis result according to the user traffic data.

The embodiment of the invention discloses a power distribution network online fault positioning system and method, and the system comprises an on-site regulation and control unit which is used for being installed on each node and each power distribution branch of a power distribution network, and achieving the real-time data collection and adjustment and control of the power distribution network;a positioning navigation unit which is used for distinguishing names of the on-site regulation and control units; an information processing system which is used for carrying out real-time processing on the acquired data of the on-site regulation and control units; a wireless communication unit which is used for carrying out data interaction on the information processing system and the on-site regulation and control units; a virtual tree diagram creation unit which is used for concretizing the on-site regulation and control units according to a graphic representation form and generating a virtual tree diagram in a father-son hierarchical structure; and a logic link establishing unit which is used for establishing a logic association relationship among the on-site regulation and control units of different hierarchical structures and automatically positioning the fault position of the power distribution network on line. According to the scheme, fault positioning operation is automaticallycarried out through logic relation analysis, and thus power distribution network fault positioning can be conveniently, rapidly and timely carried out.

The invention provides a system generation tree diagram manufacturing method and a system thereof, wherein the system generation tree diagram manufacturing method comprises the steps of clustering microbe genome second-generation sequencing data, clustering the microbe genome sequence with similarity which is higher than a preset threshold for forming one OTU, wherein each OUT corresponds with onemicrobe kind, and generating OTUs table data; screening a representative sequence in the OTUs table data; comparing the screened representative sequence with reference sequence data, if similarity ishigher than or equal with a preset threshold, determining successful comparison; and otherwise, determining failed comparison; respectively storing the representative sequence after successful comparison and the sequence after failed comparison into a successful comparison set and a failed comparison set; screening the successful comparison sequence which contains preset information from the successful comparison set, and generating a phylogenetic tree file; and performing patterning processing on the phylogenetic tree file and generating a phylogenetic tree diagram.

The invention provides an image tampering detection method, electronic equipment and a storage medium. The method comprises the steps of extracting feature points and feature vectors from a to-be-detected image; matching the feature points to obtain a matching point pair set; using a hierarchical clustering algorithm to perform condensation hierarchical clustering on the matching points in the matching point pair set to obtain a clustering tree diagram; obtaining different class clusters by utilizing different clustering numbers; utilizing an elbow rule to obtain an optimal class cluster set;selecting two class clusters from the optimal class cluster set in sequence, and executing the following steps on the two class clusters: judging whether the number of matching point pairs between thetwo class clusters is greater than a preset threshold value or not; if so, selecting a matching point pair from the two class clusters; calculating an affine transformation matrix according to the matching point pairs; searching matching point pairs by utilizing the affine transformation matrix; and determining a copying and pasting area according to the matching point pair. According to the method and the equipment provided by the invention, the algorithm complexity is reduced, the algorithm operation efficiency is improved, and the copying and pasting area is positioned more intelligently and accurately.

The invention belongs to the technical field of electric power, and discloses a model for analyzing influence degree of interference of external factors on an electric power energy consumption system. The model comprises electric energy transmission loss, and the electric energy transmission loss comprises variable loss, fixed loss and management loss. According to the method, the electric energy loss existing in the electric energy transmission process is divided into three parts, then an adjustable and changeable part is found according to the specific consumption reason of the electric energy loss, adjustment is conducted on the variable loss, the variable loss is divided into wire loss and corona loss, and the corona loss is a part with more change factors relatively, so that the corona loss is specifically separated out, meanwhile, the corona loss is most easy to change and effectively presented, related personnel can complete drawing of a tree diagram or a pie diagram according to an obtained result after treatment is completed, existing problems are effectively displayed, follow-up related personnel can conveniently carry out targeted treatment, and the transmission electric energy loss is reduced to the greatest extent.

The invention relates to a data processing method and device for setting up a tree diagram. The method comprises the steps: determining a first child node corresponding to a first father node in a to-be-processed data tree; obtaining the number of nodes of the first child node; when the number of the nodes is greater than a preset upper limit threshold value, determining arrangement information for arranging the first child nodes in at least two rows according to the upper limit threshold value and the number of the nodes; and generating a tree diagram corresponding to the to-be-processed datatree according to the arrangement information. According to the technical scheme provided by the embodiment of the invention, the sub-nodes can be dynamically adjusted into a plurality of rows and aplurality of columns according to the number of the sub-nodes, so that the layout of the tree diagram cannot be supported to be very high or very wide, and the content of the tree layout is easier tocheck; meanwhile, according to the method, the tree diagram can be reasonably arranged without back-end support, so that the tree diagram is convenient to check, and therefore, data transmission witha back end due to the fact that related data of the tree diagram needs to be cached can be avoided.

The invention provides a semi-supervised hierarchical clustering method based on an ultrametric distance matrix. The method comprises steps as follows: step 1, a closed convex set of inequality constraint is defined, and parameter estimation is projected to the closed convex set; step 2, an estimation solution vector is updated by reducing a variable vector formed in the projection; and step 3, iteration projection is performed until a given constraint fixed set is converged to the least-square optimal solution. According to the method, a semi-supervised hierarchical clustering frame based on an ultrametric tree diagram distance is taken as a research background, an optimized method is adopted, and the semi-supervised hierarchical clustering method based on the ultrametric distance matrix is provided and used for improving the efficiency and accuracy for solving the semi-supervised hierarchical clustering problem.

The invention relates to the technical field of image processing, and discloses a Marker point three-dimensional reconstruction method and device, equipment and a storage medium. The method comprisesthe following steps: acquiring shooting information in a plurality of cameras to form a two-dimensional coordinate point set; calculating a matching error rate between every two two-dimensional coordinate points in the two-dimensional coordinate point set; sequentially connecting the two-dimensional coordinate points in the two-dimensional coordinate point set to generate a matching tree diagram of the two-dimensional coordinate point set; screening out a tree-shaped single chain with the longest length in the matched tree diagram; on the basis of the tree-shaped single chain with the longestlength, matching branches with crossed two-dimensional coordinate points with the tree-shaped single chain with the longest length in the matching tree diagram, removing the two-dimensional coordinatepoints in the branches, and obtaining a maximum non-crossed tree-shaped group; and calculating a three-dimensional coordinate corresponding to the maximum non-crossed tree-shaped group. According tothe method, the maximum non-crossed tree clusters are extracted through epipolar error calculation, the matching degree of the 2D points is improved, and the accuracy of restoring the three-dimensional coordinates of the 2D points is improved.

The invention discloses an intelligent scientific research management system based on a big data technology. The intelligent scientific research management system comprises a user module, a backgroundinformation storage module, a background information statistics module and a background data analysis module, the background information storage module is used for storing scientific research management information data; the background information statistics module is used for querying and exporting data from the background information storage module according to user-defined requirements; the background data analysis module is used for carrying out data processing on the data of the background information storage module through a big data analysis technology, and the data processed by the background data analysis module is used for reference of the background information storage module; the background information storage module disassembles different management projects of the scientificresearch management information data according to a tree diagram classification mode; according to the invention, a database is maintained in various modes, and each acquisition unit can construct abasic database by inputting, uploading and importing data from an existing management system; the statistical report is generated as required, and secondary processing on a system export table is notneeded.

The invention discloses a mobile application recommendation method based on a lightweight graph convolutional network; the method comprises the steps: firstly carrying out the modeling of an interaction relation between an APP and a user through a bipartite graph, and carrying out the initial embedding through the high-order connectivity (a tree diagram); then, in a lightweight graph convolutional layer, capturing a collaborative filtering signal along the graph structure using embedding propagation to further refine embedding of the mobile application with the user; and finally, predicting preferences of the user for different mobile applications through the inner product, and completing a recommendation task. The invention belongs to the technical field of mobile applications, and particularly relates to a mobile application recommendation method based on a lightweight graph convolutional network.

The embodiment of the invention provides a house purchase qualification test method and device, and the method comprises the steps: receiving a house buying qualification test request from a terminal, wherein the house purchase qualification test request comprises test city information; obtaining a house purchase qualification test questionnaire based on the test city information, wherein the house purchase qualification test questionnaire is obtained by analyzing a tree diagram, the tree diagram is generated based on node types and node contents input by testers, and the node types comprise topics and options; sending the house purchase qualification test questionnaire to the terminal; and determining a house purchase qualification test result based on questionnaire answer options fed back by the terminal. By implementing the embodiment of the invention, the house purchase qualification test can be performed on the house buyer based on the house buying qualification test questionnaire, so that whether the house buyer meets the house buying standard or not is evaluated, and the accuracy of the house purchase qualification test is improved; and meanwhile, the house purchase qualification test questionnaire is generated through the tree diagram, so that the convenience of house purchase qualification test is improved.

A design verification method, comprising providing a circuit design; creating a stimulus tree diagram for the circuit design, wherein the stimulus tree diagram comprises L stimuli, M checkpointed splits, and N non-checkpointed splits; and executing the stimulus tree diagram, wherein said executing the stimulus tree diagram comprises, for i=1, . . . , M, executing an ith checkpointed split of the M checkpointed splits, wherein said executing the ith checkpointed split comprises (a) saving an ith context of an ith simulation environment in which said executing the stimulus tree diagram is performed; and (b) after said saving the ith context is performed, executing from the ith context along Pi paths of the stimulus tree diagram branching from the ith checkpointed split, wherein the ith checkpointed split is a Pi-way split, Pi being an integer greater than 1.

The embodiment of the invention provides an information processing method and device, equipment, a storage medium and a computer program product, and relates to the technical field of information processing.The method comprises the steps: in response to a triggering operation that a user drags a basic graph and an input operation that the user configures the basic graph, generating a tree graph, wherein the basic graph is a preset self-defined graph, and the tree graph is used for representing a tree in the data structure and displaying a tree form of the logic expression; respectively reading parameter configuration information and tree-shaped primitive data of the basic graph, wherein the tree-shaped primitive data is a logic relationship of an initial tree-shaped graph formed by the basic graph; and according to the parameter configuration information and the logic relationship, traversing the tree diagram through a depth-first search algorithm to generate a logic expression of the tree diagram. According to the method provided by the embodiment of the invention, the problems that an expression mode of a logic expression adopted in the prior art is relatively complex and not easy to understand, and meanwhile, analysis by a computer is not facilitated can be solved.

The invention discloses an automatic generation method of an inter-system information relation graph and a storage medium. The method comprises the following steps: 1) drawing a composition structure tree diagram of a target system according to the composition structure of the target system; 2) generating a two-dimensional information interaction relation matrix according to exchange information between subsystems involved in the composition structure tree diagram of the target system and between the subsystems and other related systems except the target system, wherein elements in the first row of the information interaction relation matrix are source systems of the information interaction relation, elements in the first column of the information interaction relation matrix are destination systems of the information interaction relation, and if the source system of the jth column transmits data to the destination system of the ith row, corresponding interaction information is filled in elements aij of the ith row and the jth column of the information interaction relation matrix; 3) importing the information interaction relation matrix into an overall design tool to generate an information interaction relation table; and 4) generating an information interaction relation graph of the system according to the generated information interaction relation table.