91 results about "Structural relation" patented technology

Disclosed herein is a user interface and methods for building a formulated query to search a database of structural data which is organized by classes, attributes of classes, literals of attributes, and structural relations between classes. The user interface can display results of the formulated query and includes a structural query section to define constraints for the formulated query. The structural query section includes one or more query elements to be populated and a means for adding one or more additional query elements, wherein each query element can have a class portion which is populated by designating one of a special class identifier and a concrete class identifier, and can have one or more attribute and literal portions. The class portion can be populated by designating the class identifier from an offered list, and the user interface can further include an offer section which displays the offered list. The offered class identifiers, relation identifiers, attribute identifiers and literal values can come from the particular searched structural data. The offered class identifiers, relation identifiers and attribute identifiers can come from the definition of the structural content of the searched data. A relationship between query elements is expressible using a defined structural relation, such as a “contains” relation. Relationships between two or more query elements or two or more query element attribute-literal pair portions are also expressible using logical relations, such as a logical “AND” relation, a logical “OR” relation, and a logical “XOR” relation. A query results section displays results of the formulated query after the formulated query is executed.

The invention provides a method and system for conducting dynamic graphical monitoring on complex service processes. The method comprises the steps of determining an occurred service process according to multiple pieces of real-time-collected service information, wherein each piece of service information comprises a service identifier, a task name and a task execution instruction or a task executing result, each service process comprises executed task information, the executed task state and triggered task information, and each piece of task information comprises the task name and the task executing instruction or the task executing result; determining the service process to occur and obtaining the structural relation between the occurred service process and the service process to occur through the incidence relation between the task names of the pieces of service information contained in the occurred service process and the non-occurred service process ; showing the obtained structural relation of the service processes in a vector-diagram mode. The invention further provides a system for conducting dynamic graphical monitoring on the complex service process.

The invention relates to a power distribution network scheduling foundation data integrating method.The method includes the steps of extracting data, wherein integrated system data is extracted, and the numbers of a PMS, a GIS, a scheduling service system and other service systems are transmitted to a front machine from a source end through the ETL process and converted into structural relation data to be uniformly stored and managed; verifying data, wherein converted data is extracted, and a verification rule is applied for the data to detect the integrity, correctness and logicality of the data; fusing data, wherein a fusion rule is applied for verified data to establish a logic relation among isomerous data; simplifying data, wherein data of isomerous systems is extracted on the basis of the logic relation among data, a simplifying rule is applied for the data, the content and connection relation of the data are simplified according to the simplifying rule, and data meeting scheduling requirements is output.The 'Spark+EDA' data integrating method which is suitable for meeting characteristics and requirements of all stages of power distribution networks and scheduling the power distribution networks in a targeted, adapted and operable mode is provided and can be widely applied in isomerous data integration.

Novel techniques and tools for authoring multimedia compositions are presented. The novel techniques and tools allow an author of a multimedia composition to create a multimedia composition by dragging assets from a first window containing a project's unused assets and placing the assets into a structural relationship in a second window. The author may also remove assets from the structural relationship in the second window and return the assets to the first window of unused assets. The novel techniques and tools allow an author of a multimedia composition to better keep track of the assets to be used in the multimedia composition.

The invention discloses an automatic generating method of a wrapper of complex pages. The method comprises the followings steps: (1) acquiring two HTML page documents based on the same template to generate an HTML Tag tree; (2) acquiring a minimum region DS containing a data record set; (3) acquiring initial data record (DR) from the minimum region; (4) recording the layout combination relation of the DR according to the initial data record, determining aggregation relation of extraction items according to the similarity of characteristic items, carrying out semantic annotation on entities in the same aggregation block in combination with the knowledge of the field, and recombining a new data record according to the semantic relation among entities; (5) generating the extraction rule of each aggregation block according to the position relation of the generated data record in step (4) in the HTML Tag tree, and then constructing the wrapper. The invention can extract the true data record rule from the complex pages through the analysis of the structural relation of the HTML Tag tree, thereby automatically constructing the wrapper with high extraction accuracy rate.

The invention discloses an assembly falloff defect identification method and system of an overhead contact system. Assembly template images slide in different scales of an image to be detected to search a target assembly, a position area image of the target assembly is matched in the image to be detected, and the assembly template images include template images of different assemblies in the overhead contact system; an area of a target connecting piece is positioned in the position area image according to an image edge analysis algorithm; according to the structural relation between the target assembly and the target connecting piece, the target connecting piece is segmented from the position area image in a corresponding proportion; and a gray scale histogram and a gradient feature of the target connecting piece are obtained, whether a suspected falloff defect exists the target connecting piece is determined according to the gray scale histogram of the target connecting piece, whether the suspected falloff defect is true is determined according to the gradient feature of the target connecting piece, the target connecting piece is determined to have the assembly falloff defect if the suspected falloff defect is true, and the target connecting piece is determined to be normal if the suspected falloff defect is false. Thus, the assembly falloff defect can be identified accurately.

The invention discloses a high spectral image classification method based on morphological characteristics and dictionary learning. The method comprises the following steps of extracting morphological characteristics from high spectral images, a process of dictionary learning, coding the characteristics, and classifying the images. The method is applied to the field of high spectral image classification, the structural relation of space information in the high spectral images is taken into full consideration, high-level semantic mapping is constructed on the basis of the space relation information, high-level semantic codes which can maintain the structure information of the characteristic space effectively are obtained and used for a high spectral image classification task, and the problem that semantic gaps exist between the high level meanings and bottom characteristics of the high spectral images is overcome. The method has substantial effect in high spectral image classification, and has higher application values.

The invention discloses an automatic detection method for defects of an airplane structural-member model, and the method is used to solves the technological problem that a conventional detection method is low in accuracy. The technical scheme comprises that three-dimension model defects are classified in detail according to the characteristics of the defects in practical numerical-control processing, and the generation mechanism of the three-dimension model defects and the characteristics of the three-dimension model defects in a geometrical layer and a topological layer are analyzed, and a corresponding determination rule is concluded and extracted for identifying defects. Aiming at a to-be tested structural-member model, the geometrical parameters at three levels of surface, edge and point and the topological attributes of the model are extracted, and different attribute parameters of multiple surfaces, edges or points in a local structure are mixed together for together representing the local structure defects. The attribute parameters extracted from the to-be detected three-dimension model are matched with the defect determination rule, and is matched, the fact that the model has the kind of defect is shown. The method combines the structural relation between the three-dimension model defects and the intersection characteristics, and accurately identifies the three-dimension model defect structure according to conditions.

The invention discloses a hyper-spectral image classification method based on local manifold embedding. The hyper-spectral image classification method includes the steps: 1) reconstructing data points of a training sample by the aid of similar neighbor points; 2) constructing an intra-class graph, an intra-class reconstruction graph, an inter-class graph and an inter-class reconstruction graph by the aid of neighborhood of the data points and reconstruction points corresponding to neighborhood points; 3) keeping structures of the intra-class graph and the intra-class reconstruction graph unchanged in a low-dimensional embedding space, and inhibiting the structural relation between the inter-class graph and the inter-class reconstruction graph to obtain a projection matrix from a high-dimensional space to the low-dimensional space; 4) acquiring low-dimensional embedding characteristics of the training sample; 5) reducing dimensionality of high-dimensional data of a testing sample by the projection matrix to obtain testing sample low-dimensional embedding; 6) classifying testing sample low-dimensional embedding by a classifier to obtain hyper-spectral image classification results. Internal implication attributes of hyper-spectral images can be more effectively represented, diagnostic characteristics can be more effectively extracted, and data divisibility is improved.

The invention provides a multi-mode traffic demand influence analysis method, for different areas of public traffic demands and private cars, based on a spatial vector autoregression model. The methodmainly comprises that (1) a multi-mode traffic demand cooperation model among the areas is established, a traditional spVAR model is improved, a regional POI index is introduced to define the spatialweight for the areas of different traffic modes, and a multi-mode traffic demand spatial VAR model including the regional space structural relation is constructed; and (2) a multi-mode traffic demandcooperation strategy of different areas is provided. Pulse response and variance decomposition results of different traffic modes are solved on the basis of the constructed regional multi-mode traffic spatial VAR model, further, a spatial overflow effect of the traffic demands is obtained by analysis, and the cooperative strategy model for different spatial states and traffic states is provided and constructed. It is proved that the model can improve the availability and scientific performance of traffic efficiency.

The invention discloses a robot animation method using inverse dynamical simulation. The method includes the steps of a, building a hierarchical structural relation of research objects, to be specific, dividing the research objects into multiple skeletal links; b, analyzing inverse motion of the skeletal links by means of cyclic-coordinate descent; c, restraining joint rotational angles of the skeletal links. The method allows motion condition of targets to be quickly, simply and accurately acquired.

The invention discloses a layered multi-domain visible security operation and maintenance method based on a graph database. The method comprises the steps of firstly dividing security operation and maintenance into a basic security layer, a security analysis layer and a threat information layer; meanwhile, dividing the function of each layer into a single or multiple domains, wherein the basic security layer is divided into a network topology domain, a system service domain, a personal information domain and a security strategy domain, the security analysis layer is divided into a dependence domain, a network security domain and a user security domain, and the threat information layer is composed of a corresponding threat information standard domain; then converting structural relation andattribute features of each domain to a corresponding UML graph, and meanwhile deploying sensors with corresponding functions at specified network positions for collecting data needed by each domain;then mapping the UML graph to the graph database via a corresponding API; and at last, achieving visible security operation and maintenance through querying and analyzing data of the graph database. According to the method provided by the invention, a graph database technology is combined with security operation and maintenance, so that difficulty of security operation and maintenance is reduced,and analysis efficiency of security operation and maintenance is improved.

The invention discloses a mode recognition method of a mixed linear SVM (support vector machine) classifier with a hierarchical structure. The iteration process of the mode recognition method mainly comprises the following steps of: firstly updating the training weight of each sample by applying the neighbor geometrical structural relation of training data and the classification error of the current H-MLSVMs classifier; and secondly training a linear SVM classifier with a weight by utilizing the samples with the weights, embedding the classifier into the current H-MLSVMs, and updating the classification error of the classifier. The mode recognition method disclosed by the invention is an effective mode recognition and classification method and is a universal method. Experimental results show that compared with other classical SVM methods, the classification method has the popularization capability which is always the same with a kernel function-based SVM method, has no shortcomings of difficulty in selection of a kernel function and parameters thereof, very large occupation of a memory and the like and particularly has the classification time complexity in the same order with the linear SVM; and furthermore, the classification method is more effective when the classification method is used for classifying new samples, can be further applied to a real-time mode recognition system, and has great application prospects.

The embodiment of the invention provides an attribute display method in a configuration database. By using the attribute display method in the configuration database provided by the embodiment of the invention, a structural relation tree is previously generated through correspondence between a received attribute of equipment in a system and a preset type, and the attribute selected by a user is fed back to a client according to a tree structure after the user selects the attribute to be displayed, so that a user can select the attribute to be displayed and the attribute to be displayed can be displayed to the user through the client according to the structural relation tree.

The invention discloses a selection method based on multiple design schemes of a Petri network complex system. According to the complex system, firstly, an internal logic structural relation between all the design schemes and attribute information of reliability, maintainability, testability and safety of related components are acquired; secondly, a feasibility model is constructed, a time delay Petri network BVTPN, based on the feasibility model, of the complex system is established according to the information of all the schemes of the complex system, and a comprehensive influence parameter model is further constructed; lastly, the optimal scheme of the complex system is found in combination with the rapidity and wholeness of an ant colony algorithm. By means of the optimal scheme seeking method, the problems related to optimal selection of multiple attribute schemes of the complex system at present are solved, that is, the phenomenon that the reliability, the maintainability, the testability and the safety are not combined is thoroughly avoided by comprehensively balancing the influences of the attribute information on the optimal scheme, the rapidity and accuracy of optimal selection of the schemes of the complex system are greatly improved, and it is guaranteed that the complex system is designed effectively and the comprehensive efficiency of the complex system is optimal in the whole life cycle.

The application relates to an information processing method of a loop voltage stabilizer in a nuclear power plant and a checking method. The information processing method comprises the following steps: determining a corresponding relation between the liquid-level rising rate of a pressure releasing box and the loop leakage rate according to the structural relation between the liquid-level height during normal operation of the pressure releasing box and the pressure releasing box, and converting the liquid-level rising rate of the current pressure releasing tank into a value with the same unit as the loop leakage rate according to the corresponding relation; and according to the corresponding relation, establishing a matching relation of a processing plan for the liquid-level rising rate of the pressure releasing box and the loop leakage rate. The information processing method and the checking method have the advantages that the liquid-level rising rate is converted into the existing standard loop leakage rate, the problem that no standard exists for liquid-level rise of the pressure releasing box in the nuclear power plant in a long term is solved; by the establishment of the matching relation of the processing plan for the liquid-level rising rate of the pressure releasing box and the loop leakage rate, the problem of no intervention means of the liquid-level rise of the pressure releasing box in the nuclear power plant in a long term is solved, so that unnecessary disassembly and maintenance of valves are reduced and further the exposure dose to workers and radioactive wastes are reduced.

The invention discloses a parallel lookup method for a high-capacity access control list, and relates to the technical field of communication. The method comprises the following steps: setting the linked list storage structure of the access control list into a bidirectional linked list way, and establishing a structural relation among list items in the access control list; performing flow division on primarily entering data flow by using a multi-core processor to establish a flow table, and meanwhile, looking up an appropriate access control list item to establish correlation between the flow table and the list item of the access control list; acquiring the execution action of the access control list from the table items of the flow table by using subsequently entering data flow. By adopting the parallel lookup method, the matching efficiency of the access control list is increased, the technical bottleneck of the multi-core processor on the function item of the access control list is eliminated, and the resource utilization ratio and the task execution efficiency are increased.

Disclosed is a method for determining the spatial location of a conducting wire and an aerial earth wire of a power transmission line, so as to solve the problem that the method in the prior art is not applicable to determining the spatial location of the conducting wire and the aerial earth wire of the conventional power transmission line with respect to lightning shielding failures. In the present invention, according to the physical locations of the conducting wires and aerial earth wires, the power transmission line shielding efficiency is calculated based on that the corresponding lightning shielding failure trip rate is zero when the exposure arc is zero, thus providing designing and operating units with a reliable analytical method for preventing lightning shielding failures, and meanwhile working out the shielding efficiency of the conducting wire of each phase more accurately, so as to analyze the structural relations between the aerial earth wires and conducting wires to determine the lightning protection effect of the whole power transmission line. The present invention provides a supplementary analytical method of the shielding efficiency of the existing power transmission lines.

The invention discloses a contrast method for a single sand body inside a composite sand body of an offshore oilfield. The contrast method comprises the following steps of measuring a section of a transection sedimentary body of the cross-well composite sand body of the offshore oilfield in a long-axis direction to obtain a backbone section of the composite sand body; aiming at the selected backbone section, selecting gyration flooding surface mud rock top face in the middle period or short period of the composite sand body to obtain an isochronal interface with the leveled flooding surface mud rock top face; leveling the isochronal interface, and dividing the vertical development phases of the composite sand body on the interface according to earthquake, logging and well data of a measured single well; on the basis of the divided development phases, recognizing lateral boundaries of the cross-well composite sand body according to the sensitive earthquake attributes; analyzing the interior structure of the composite sand body according to the vertical development phases and the lateral boundaries of the composite sand body to obtain contrast of the single sand body inside the composite sand body. According to the contrast method, the structural relation inside the sand body can be given; the relation of the cross-well sand body is accurately described through the further utilization of the offshore oilfield earthquake data.

The invention belongs to the technical field of automotive electronics and discloses an in-vehicle network intrusion detection method and system based on a capsule neural network. Real-time dynamic data of vehicle CAN and MOST buses are used as packet frequency in original data. Sequence information is used as features. Vehicle driving state information is used as features, and related special methods are carried out to convert the data into a feature matrix for processing. The capsule neural network can perform high-order modeling on the correlation between the features. A model based on thecapsule neural network is introduced. The structural relation between the feature data is mined, the accuracy of a traditional neural network intrusion detection method is improved, the safety of vehicle driving is enhanced, and meanwhile the model is more universal and better in practicability.

The invention provides a complex system supervision graph embedding structural data visualized monitoring method based on relevant measurement and relates to a complex system supervision graph embedding structural data monitoring method to solve the problem that visualized monitoring on complex system supervision graph embedding structural data is difficult to achieve at present. The complex system supervision graph embedding structural data visualized monitoring method based on relevant measurement comprises the steps that dimension reduction is conducted on complex system high dimensional data, and space structural relations among data points are saved; the high dimensional data are reduced into two-dimensional or three-dimensional data which can be seen by human eyes, the structural relations among the data points are observed in a visible space, and the visualization presentation of high dimensional data is achieved. The complex system supervision graph embedding structural data visualized monitoring method based on relevant measurement is suitable for complex system supervision graph embedding structural data visualized monitoring occasions.

The invention discloses an electronic device testability modeling evaluation method, and relates to the technical field of device testing. The electronic device testability modeling evaluation method comprises the following steps of 1) determining the modeling object; 2) building a testability hierarchical mixture model; 3) adjusting, correcting and verifying the built testability hierarchical mixture model, and evaluating the accuracy of the built model; and 4) analyzing and evaluating the device testability. The electronic device testability modeling evaluation method has good observability, the association and dependency relation between faults and tests can be reflected, and the structural relation and the fault propagation relation between system modules can be reflected; multi-source testability information can be fused to carry out testability quantitative analysis and evaluation, at the same time, the electronic device testability modeling evaluation method has hierarchy, small fragment testability models such as subsystems or function modules are combined to form the testability model of the whole system, the modeling difficulty level is reduced, and the testability model can be extended and modified conveniently.

The invention discloses a liquid level control display instrument and a using method thereof, and relates to liquid level display technology. The structural relation of the instrument is that: a gauge head is fixed on a fixing frame; one end of a lever of the gauge head is connected with an inner core of the gauge head, while the other end is connected with a transmission rod; a pressure adjustment spring is sleeved on the transmission rod and is positioned above a connecting body; the upper end surface of a pressure adjustment cap passes through the transmission rod and is sleeved outside the transmission rod and the pressure adjustment spring; the outside of the pressure adjustment cap is provided with an adjusting cavity; the lower end of the transmission rod is connected with an air bag through the connecting body; and the air bag and a gauge pipe are connected through an air transmission pipe; one end of a stroke opening / closing sheet is fixed on a normal contact, while the other end is positioned on a contact; one end of the stroke opening / closing sheet is integrated, and the middle part of the other end of the stroke opening / closing sheet is connected by a closed spring; and a vertical spring is arranged beside the adjusting cavity; the lower end of the vertical spring is fixed on the fixing frame; the upper end of the vertical spring is fixed in the middle of a pressure adjustment lever; one end of the pressure adjustment lever is fixed on the fixing frame; the other end of the pressure adjustment lever is positioned on tine of an eccentric wheel; and the eccentric wheel is connected to an eccentric wheel seat.

The invention relates to a sandstone thickness contour map compilation method with the reservoir configuration constraint. The method comprises the following steps: step one, dividing reservoir configuration units; to be specific, step a, predicting reservoir configuration interfaces; step b, classifying the reservoir configuration interfaces; and step c, combing the reservoir configuration interfaces; step two, compiling sandstone thickness contour maps in the reservoir configuration units; to be specific, step a, preparing data; and step b, carrying out sandstone thickness interpolation of seismic attribute constraint well points; and step three, generating a sandstone thickness contour map; to be specific, step b, analyzing development periods of adjacent configuration units; and step b, superposing the sand body thickness contour maps. According to the invention, with the configuration units as mapping units, the information such as the structural relation in the underground reservoir is introduced, so that the real distribution condition of the sandstone thickness can be effectively reflected; the limitation that the traditional sandstone thickness contour map can only reflectthe thicknesses between envelope surfaces of the sandstone reservoir is broken; and thus the fine reservoir quality evaluation can be effectively guided.

The invention relates to a complex system monitoring data visualization method based on similarity measurement and belongs to the technical field of complex systems to solve the problems that complex system test data normally are high in dimension and large in size and are typical high dimensional multivariable data, and visualization analysis is difficult. The complex system monitoring data visualization method based on similarity measurement comprises the following steps that firstly, a mapping graph is established; secondly, weights are calculated; thirdly, feature mapping is conducted, dimension reduction is conducted on an m-class n-dimensional matrix through the complex system monitoring data, the high dimensional data are reduced into two-dimensional or three-dimensional data which can be seen by human eyes, the structural relations among the data points are observed in a visible space, and the visualization presentation of high dimensional data is achieved.

The invention provides an XML-based OAIS information packaging method and XML-based OAIS information packaging system. The packaging method comprises the following steps of: collecting file data and metadata by virtue of XML, carrying out the physical packaging according to a structural relation of the file data and the metadata, and generating at least one submission information package; identifying, compiling and filing the submission information package, packaging, by using XML, the metadata generated during the identification, compiling and filing by adopting a physical packaging way into the submission information package after being identified, compiled and filed to generate at least one archival information package; and acquiring target archive data from the archival information package according to a request instruction of a user, and packaging, by using XML, the target archival data by adopting a physical packaging way to form at least one distribution information package, and allocating the distribution information package to the user. The XML is used as a data exchange format for implementing an OAIS model, the isomerism of data acquired at the bottom layer can be shielded, the packaging is flexible, and the integrity and long-term persistence of the archive can be guaranteed by adopting the physical packaging.

The embodiment of the invention discloses an image retrieval method and an image retrieval device, and relates to the technical field of image retrieval. The method comprises the steps that at least one structure template is determined according to a target object, wherein the structure template comprises attributes of constituent parts of the target object and the structural relation of the constituent parts; the at least one structure template is adjusted according to the target object; features to be retrieved are determined according to the at least one adjusted structure template. According to the method and device, due to use of the at least one structure template including the attributes of the constituent parts of the target object and the structural relation of the constituent parts, image retrieval with high accuracy can be achieved.

The invention provides a multilayer board, a producing method for the multilayer board and a lancing device for a veneer of the multilayer board. According to the anti-deformation multilayer board and the producing method, a lance is formed in the veneer; the structural relation of the lance can provide a deformation space for the veneer when the veneer is deformed, so that overall deformation of the veneer is prevented; at the same time, the lancing device for the veneer of the multilayer board can process the lance with an anti-deformation structure on the veneer quickly, and the overall deformation of the veneer is prevented. According to the provided multilayer board, the technical effects of being free from deformation, layering, bubbling and seaming and high in nail-holding power can be achieved.