167 results about "Structure relation" patented technology

The invention relates to a method for determining the change of functional points by analysing the change of codes: firstly, all changes of source codes to be compared are searched and collected on textual level and a diff result is generated; secondly, an incidence relation between the modified source codes and an interface function or method by analysing the structure relation of the source codes to be compared and a call graph result is generated; the diff result and the call graph result are finally analysed, all affected interface functions or methods are output in the form of graph or statement to generate an affected result graph. By the code analysis, the external function point which is affected when the version is updated, thus effectively assisting the testing and updating operation of new software versions.

The invention relates to a storing and accessing method of a tree implemented by 2D tables, including: (1) building 2D tables, including: a capacity allocation table, describing the capacity of tables in the system; a tree-structure relation table, describing the relation of the tree structure; several data storage area tables, recording the node attribute values in the tree structure; (2) loading and maintaining the data, including adding, deleting, amending and searching as well as the relative operations; (3) managing the data, including loading, synchronizing, changing and observing. It achieves the effects of flexibly configuring data and of making maximum use of the original mechanisms of the object-oriented database and enhances processing efficiency, flexibility and stability.

Effectively displaying the results of a search, or identifying a specific object in a collection when the user only has a vague recollection of the properties of the object or is uncertain of the best search terms to use, is a difficult problem. To address such difficulties a method for displaying a collection of objects in three dimensions (3D) is described. Each object is represented using an image or icon and has associated metadata. Common metadata attributes such as colour (RGB, Brightness), creation date, title etc, between the objects are used to define a data space and each object is assigned a point in the dataspace. The dataspace is then projected down to a 3D viewing space where a representation or image of the object will be displayed in. To improve the visualisation of the objects, the projected points are adjusted so as to reduce the clustering of points whilst maintaining or preserving the order of the points. This declustering step preserves the structural relationship between the objects while optimising the viewing volume (effectively reducing void spaces in the displayed collection) thus improving the visual representation of the collection and allowing more efficient identification and selection of an object in the collection. The method can be used for visualising search results, files on a computer, objects in a physical library, or products for sale on a website, and can produce up to an 80% reduction in search times.

The invention provides a high-performance implementation method for multi-scale segmentation of remote sensing images, and in particular a method for implementing fast and multi-scale image segmentation of large amount of remote sensing images and establishing the structural relationship of segmentation results in the process of high-resolution remote sensing image information extraction. The method comprises the following steps: on the basis of analyzing the implementation procedure of the algorithm and finding out the computing-intensive segment of the algorithm, realizing the parallel segmentation of the algorithm-intensive segment based on MPI and OMP models, and carrying out date join on the parallel segmentation results; implementing the multi-scale image segmentation by storing the initial segmentation results of the algorithm and merging the subsequent multi-scale remote sensing images; and establishing a multi-scale object topological relation model. The generated multi-scale segmentation region and corresponding hierarchical relationship can be applied to various services; and the corresponding implementation method is applicable to various segmentation algorithms such as mean shift and the like, and can greatly improve the data amount processed by algorithm and the processing efficiency.

The invention discloses a human body behavior identification method based on a depth sequence. The human body behavior identification method comprises the following steps: adopting a LBP (Local Binary Patterns) operator based on normal information; adopting a combined LBP operator of a spatial pyramid form; carrying out the sparse representation of the combined LBP operator; and carrying out the segmentation and the alignment of a behavior sequence. In order to obtain surface features which reflect different human body behavior surfaces in a depth map and further improve the robustness of human body behavior identification, a LBP description operator of normal information in the depth map is defined according to the similarity and the associated information of a human body structure in the depth map, wherein the operator keeps the geometric characteristics of a human body behavior surface on an aspect of details, extracts the local features of the surface on a local space, and expresses the local features as the human body behavior local features in the depth map. On the whole, detail information is integrated by a coding method based on dictionary learning, the local spatial structure relationship of a human body surface is kept by the pooling processing of an adaptive space-time pyramid and a thinning coefficient, and the detail and integral feature description of three-dimensional human body behaviors is realized.

The invention provides a hyperspectral image characteristic parallel extraction and classification method. By adopting three-dimensional spatial domain and frequency domain combination analysis, parallel characteristic extraction of three-dimensional and hyperspectral images is carried out, and then the characteristics are enhanced and integrated, and in addition, influences of noises on accuracy are greatly reduced by fully using rich information of high-dimensional data and a structural relationship between the characteristics. Various phases, directions, frequency domains, and three-dimensional space coding methods are deeply researched, and by starting from structural relationships between directions and frequencies of various Gabor characteristics, changing characteristics of signals of a spatial-spectral domain and the frequency domain are extracted in a combined way, and at the same time, an intelligent algorithm is innovatively introduced in waveband selection, and therefore under a precondition of guaranteeing identification accuracy, redundant information is reduced, identification efficiency is improved, and a wide application and popularization prospect is provided.

The invention relates to a municipal wastewater treatment system (STAR) for forming a wastewater treatment plant (PTAR), characterized by the functional and structural relationship between the components thereof. The invention comprises seven treatment stages in the STAR and the arrangement thereof, including: an intake regulator box having a discharge outlet; a pretreatment stage consisting of solid separation screens and grit channels; and anaerobic biodigester; an up-flow anaerobic filter; drying beds; subsurface flow constructed wetlands; and a chlorine contact channel. The STAR and PTAR according to the invention are suitable for use in a single home, as well as for use by communities of approximately 5,000 (thousand) inhabitants, and their capacity can be increased to the extent that new elements are provided at each of the different steps, simply by adding and adapting modules, without having to replace the already operating elements.

The invention discloses a mathematical formula identification code method, which belongs to the formula identification field. The steps of the method comprise collecting and inputting a printing style mathematical formula image or an on-line handwriting stroke sequence, performing symbol division on the input printing style mathematical formula image or the on-line handwriting stroke sequence, performing symbol identification treatment, merging common function names, setting and identifying a user-defined code corresponding to the common function names, performing structural analysis treatment on results of symbol division, identification and function name merging, obtaining a structural relational tree of the whole formula, expressing language formats according to an editable computer formula, and encoding the obtained structural relational tree of the whole formula.

The invention belongs to the field of three-dimensional geographic information system data visualization, and particularly relates to a method for automatically building a three-dimensional model of data of an underground pipeline. The method comprises the steps of building a three-dimensional virtual geographical environment according to DEM data and DOM data, cleaning and organizing the data of the underground pipeline, establishing a pipeline node tree structure relation, building underground pipeline node joints and a pipeline three-dimensional meta model, automatically building the three-dimensional model of the underground pipeline according to the structure of the underground pipeline and the positions of nodes, in a virtual geographical scene, of the underground pipeline, building a massive underground pipeline model drawing mechanism based on the LOD, loading the three-dimensional model of the underground pipeline to the virtual geographical scene, and carrying out visualization and query management. The method for automatically building the three-dimensional model of the data of the underground pipeline has the advantages that modeling and model management are flexible and convenient, the model of the underground pipeline does not need to be built manually, expression and rapid visualization of the data structure of the underground pipeline are facilitated, and rapid building and flexible management of the model of the complex underground pipeline in the virtual geographical environment are achieved.

The invention discloses a behavior pattern mining method based on pairing of business process logs and entity tracks. The behavior pattern mining method includes the steps that event log datasets are converted into entity track datasets, the entity track datasets are subjected to layered clustering with a synthesis clustering algorithm, an entity track ID guide tree is obtained, and a paired matrix containing all the entity track datasets is obtained with the guide tree as an index; the paired matrix is subjected to traversal to gather elements with same activity name attributes to obtain activity blocks, frequent activity blocks and frequent combinations are selected according to the sum of the numbers of combined-appearing times of the activity name attributes and the activity executor attributes in the activity blocks, the number of appearing times of the activity name attributes and the number of appearing times of the activity executor attributes, and the structural relationship between the frequent activity blocks and the frequent combinations in the activity blocks is obtained. According to the behavior pattern mining method, some fixed behavior patterns in the unstructured business process are mined from the point of cooperation, and the behavior pattern mining method is of great significance in effective analysis of the unstructured business process.

The invention discloses a method for constructing a cigarette cut tobacco quality evaluation model based on the analytic hierarchy process (AHP), and belongs to the technical field of cigarette technology evaluation. The method comprises the steps of firstly, determining cut tobacco quality evaluation indexes, constructing an evaluation index hierarchical structure model, and forming an evaluationindex system composed of a target layer, a criterion layer and an index layer; secondly, establishing a relative importance judgment matrix according to the relative importance of the evaluation indexes and the inter-layer structure relationship, and calculating the weight of each evaluation index by an AHP judgment matrix; thirdly, adopting different calculation methods for different types of index scores; and fourthly, constructing a cigarette cut tobacco quality evaluation model by using a statistical weighting method to make a comprehensive evaluation of the cut tobacco quality. Comparedwith the prior art, the method of the invention establishes a cigarette cut tobacco quality evaluation model based on the AHP, and can trace the causes of the cut tobacco quality and overcome the shortcomings that evaluation results are easily influenced by the experts' experience, level and subjective factors. The evaluation results are more scientific.

The invention provides a risk fuzzy synthetic evaluation method for a regional water environment. The method includes the steps that a membership degree function is established according to the hierarchical structure relation of a target level, a system level, a criterion level and an index level, and the membership degrees of indexes of a regional water environment risk evaluation index system to estimation scales are worked out; a structural model is established according to the hierarchical relation of the index system, and a fuzzy relation matrix is established through the relative membership degree function; a final evaluation result is determined based on the maximum membership degree principle. By means of the technical scheme, the regional water environment can be evaluated more accurately to provide an accurate basis for decision making.

The invention discloses a credit evaluation method based on an AHP (analytic hierarchy process). The credit evaluation method based on the AHP includes: confirming a credit evaluation grade set; confirming a multilevel evaluation index, and constructing an index evaluation system of a four hierarchy structure formed by an overall objective layer, a criterion layer, a discrimination layer and an index layer according to the confirmed evaluation index; confirming value ranges of the evaluation index of the index layer according to three modes of using an actual number, a percentage and a status value; using a matrix judgment method to calculate the weight of the evaluation index according to the importance degree of the evaluation index and structural relationships among the four layers, confirming the value of the evaluation index according to information which constitutes an index element, and then using a preset subordinating degree function to calculate the subordinating degree valued of the evaluation index according to the value of the evaluation index; using the AHP to evaluate the credit grade of an evaluated object. The credit evaluation method based on the AHP has the advantages of being objective, scientific and accurate, and can be widely used in the credit evaluation field.

The invention discloses a generalized tree sparse-based weight nuclear norm magnetic resonance imaging reconstruction method. The method comprises the following steps of: firstly obtaining a test magnetic resonance imaging sampling data sample to carry out Fourier transform; constructing a sparse of a tree structure according to a sampled signal, and approaching to sparse expression of a constrained target function by utilizing a nuclear norm with a weight; optimizing the constrained target function through an augmented lagrangian multiplier method, and carrying out iterative updating on the test data through an alternating direction search algorithm until estimated recovery data is obtained; and obtaining a final recovery image through constructing tree sparse inverse transformation. According to the method, an internal structure relationship between image signals is sufficiently mined, the generalized tree sparse structure characteristics of image blocks are combined with weight nuclear norms, and the calculation process is simplified by utilizing an ADMM algorithm, so that the complexity of the algorithm is reduced, the performance of a part of spatial data reconstruction images is improved, images can be reconstructed more accurately under less scanning and measurement, fake shadows of the reconstructed images can be decreased and rapid magnetic resonance imaging is realized.

The invention discloses a wet polyurethane resin with high flexing resistance, high wear resistance and high peeling strength, and a preparation method thereof. During a synthetic process of the polyurethane (PU) resin, proper soft polyurethane segment and hard polyurethane segment materials and a brand-new synthesis process route by quasi prepolymerization are selected to prepare the wet polyurethane resin based on fully considering effect of separate soft and hard segment structure, crystallinity and intermolecular cohesive energy density distribution of the PU resin on aggregation structure relationship formed by coagulation of PU resin solution in dimethylformamide (DMF) aqueous solution. The wet PU resin with high flexing resistance, high wear resistance and high peeling strength fully solves the defect that the existing common PU resin can not reach three performance indexes which are high flexing, high wear resistance, high peeling strength at the same time. Synthetic leather made from the wet PU resin with high flexing resistance, high wear resistance and high peeling strength can meet three performance indexes of high flexing resistance, high wear resistance, high peeling strength at the same time, and can greatly improve durability of shoes products.

Systems and methods are provided to implement automated search-based problem determination and resolution systems in which a domain-specific data model for a class of complex systems, which is representative of structural relationships of entities within the class of complex systems, is utilized to provide enhanced domain-specific content searching and search results ranking for problem determination and resolution for complex systems.

The invention relates to a method for extracting non-taxonomy relations between entities for Chinese patents. The method comprises following steps: S1): initializing basic relation sets of concept pairs; S2): automatically marking candidate relational words by use of a relational word marking algorithm based on domain relation intensity; S3): performing characteristic selection to obtain characteristic vectors; S4): performing classification to the characteristic data obtained in S3) by use of a support vector machine SVM. According to the invention, the extraction of non-taxonomy relations between entities for Chinese patents is defined as extraction of relations between entities which suit a SAO structure; a method of syntactic analysis characteristics and relational word dictionary characteristics in combination with traditional characteristics is brought forward, and a support vector machine is used for relation extraction so that the problem of right relation example structures with semantic errors in SAO structure relation extraction task is solved; the method is prior to traditional relation extraction method and can better satisfy practical application needs.

The invention relates to a high-rate graphite negative electrode material, a preparation method thereof and a lithium ion battery. The high-rate graphite negative electrode material comprises a graphite inner core and a hard carbon material layer, wherein the hard carbon material layer wraps a surface of the graphite inner core and is doped with lithium nitride. In the high-rate graphite negativeelectrode material provided by the invention, doping modification on the hard carbon material is performed by the lithium nitride, on one hand, a structure relation between the inner core and a coating layer can be built by lithium hydrophilcity of the inner core and the hard carbon material, and the hydrophilcity and the structural stability of the inner core and the coating layer are improved; and on the other hand, lattice defect can be formed in a carbon layer by lithium nitride doping, the electron mobility is improved, lithium storage combination points are increased, meanwhile, layer distance of a carbon-based material also can be expanded, and the lithium ion migration rate is improved. The graphite negative electrode material has the characteristics of good structural stability, large layer distance, many lithium storage combination points and rapid lithium ion and electron transmission speed, and the rapid charge capability of the lithium ion battery can be improved to a great extent.

The invention provides a data migration method and system, which is characterized by the following: migrating the filtered and transmitted data source in the object data base; maintaining new data structure relationship of data to dictionary citing and main graph to subgraph automatically in the migration course. The system contains stencil definition mode, data migration engine mode and exploiter appliance program interface (API). The method contains the following steps: setting system parameter; defining data migration stencil; executing data migration.

The invention provides a dynamic ontology modeling method based on a user situation, which comprises the steps of: 1: according to a system and user requirements, determining an ontology model concept set and an ontology model structural relationship set; 2: according to the ontology model concept set and the structural relationship set, selecting and generating an initial ontology model; and 3: when a user initiates a request, checking whether the concept set of the user is changed or not, and if not, using the original initial model directly; and if yes, returning to Step 2 and regenerating an ontology model according to the changed concept set. The method and the system have the advantages of having the simple model, simplifying complicated calculation and comparison rules in original static ontology modeling, reacting rapidly according to attribute change of the user situation, generating the new ontology model and having good self-adaption, expandability and generality.

The invention discloses a structure-preserving interpolation method of two-dimensional shapes. The structure-preserving interpolation method comprises the following steps: respectively arranging two-dimensional shapes such as a 'source shape' and a 'target shape' in a computer; firstly, introducing a simple structure to represent the space layout relation between adjacent lines in the source shape, and naming the structure as a 'source space frame'; similarly, adopting similar structures to represent the space layout relation between adjacent lines in the target shape, and naming the structure as a 'target space frame'; and then interpolating the source space frame to the target space frame, and finally realizing natural transition from the source shape to the target shape. The structure-preserving interpolation method disclosed by the invention has the characteristic that not only can significant geometrical features of single lines be maintained, but also the space structure relation between the adjacent lines can be maintained, so that the semantic features of the source shape and the target shape can be maintained in a transition shape sequence, and finally a visually-beautiful shape transition sequence is generated.

The invention provides a personalized product recommendation method based on combined non-negative matrix decomposition. The method comprises a step of capturing data information which comprises the score of a purchased product by a user, the friend relation between users and a text evaluation of the purchased product by the user in the Internet, a step of converting the data information into a data matrix, wherein the data information of each user is a row vector, a step of using a method of combined non-negative matrix decomposition to separate the original data matrix into a plurality of data matrices under a plurality of low-dimensional spaces, and a step of estimating the scores of all products which are not purchased by each user according to the data matrices under the low-dimensional spaces and carrying out product recommendation according to high and low scores. The method has the advantages that a user structure relation and product evaluation information in a social network are comprehensively considered, a problem that a traditional method can not effectively process a new user is solved, and the effective product recommendation is carried out on a new user who has not purchase any product.

The invention provides a structured data model-based standard information analysis method comprising the following steps: defining a structured standard text, and determining a meta-data model XSD; using a page text editor to edit the structured standard text; building a standard meaning label database, obtaining the structured standard text position in the corresponding meaning label database, and setting a placeholder; building a standard structure relation database; building a reference relation database according to the reference relation between header information and standard specifications; resource locating a RDF file, and using a standard directory structure to store same. The method can realize standard element fine grain positioning on the basis of standard content fine grain management; the method is convenient in retrieval and utilization; in standard characteristic adjustment, the method can timely automatically issue in public utility with sensitive reactions, like power supply and consumption and industry and traffic, thus providing real meaning and potential market space for regulating service standards.

The invention discloses a resource management device of an application system. According to an application system definition component, a module definition component and a custom page control, the device realizes the layer structure relation of the application system resources including the application system, a sub-application system (or named module), an interface, an interface element, and the like, thus facilitating the management and the function development of the application system; the automatic registration and the authentication of the resource in the application system and an authentication system are carried out synchronously according to a metadata database analyses component, a resource registration component and a resource synchronous component; wherein, the application system definition component is used for defining the application system and creating the solution scheme of the application system; the module definition component is used for defining the business module of the application system and creating the realizing project of the business module; and the custom page control is used for defining the interface and the interface element.