467 results about "Topological information" patented technology

Methods, systems, and computer program products for improving installation of software suites by including topological information pertaining to the run-time environment of products in the suite. A model and framework are described, where the objects of the data model include one or more preferred topologies. A template may be provided for each topology, with which an installer enters data values for customizing this topology. The approach disclosed herein enables more efficient and flexible software installation than is available in the prior art, by adapting the installation process for a particular topology of a destination run-time environment. Using the disclosed techniques, a solution builder is able for the first time to enforce or recommend the topology which is most efficient for this end solution. (For example, the solution builder may specify the types of machines which comprise a preferred run-time environment for the software products in the suite.)

A network operating system NOS for an agile optical network with a plurality of mesh interconnected switching nodes, manages the network using an object-oriented network information model. The model is common to all applications requiring the data stored in the network managed information base. The core model can be expanded for serving specific application areas. The NOS is organized in layers, at the optical module level, connection level and network level. A distributed topology server DTS organizes the physical, logical and topological data defining all network entities as managed objects MO and topology objects TO for constructing a complete network view. The network information model associates a network element NE information model, specified by managed objects MO and a topological information model, specified by topology objects TO. The MOs are abstract specific NE data that define network implementation details and do not include any topological data, while the TOs abstract specific topological data for defining a trail established within the network, and do not include any NE data. The models are associated in a minimal number of points to construct the model of a trial in response to a connection request.

The invention relates to a point cloud data based single tree three-dimensional modeling and morphological parameter extracting method. The point cloud data based single tree three-dimensional modeling and morphological parameter extracting method comprises obtaining three-dimensional surface point cloud data of high density standing trees through a three-dimensional scanner or other live-action measuring modes, calculating the shortest distance from points to root nodes through a k-nearest neighbor graph, performing hierarchical clustering on the data according to distance, enabling centers of clustering hierarchies to be served as framework points of a limb system and meanwhile extracting corresponding semi-diameter of the framework points; connecting the framework points to establish a topological structure of branches and grading the branches; performing three-dimensional geometrical reconstruction on branches through a generalized cylinder body; adding leaf models to the limb system to form into a vivid three-dimensional single tree model; extracting height of trees, diameter of breast height and crown breadth of the standing trees in the point cloud. The point cloud data based single tree three-dimensional modeling and morphological parameter extracting method can rapidly and semi-automatically extract tree important geometrical parameters and topological information to form into the high vivid single tree geometric model and has wide application prospects and values in fields such as agriculture and forestry survey, ecological research and landscape planning.

Examples of various method and systems are provided for information extraction from scene information. 2D image information can be generated from 2D images of the scene that are overlapping at least part of one or more object(s). The 2D image information can be combined with 3D information about the scene incorporating at least part of the object(s) to generate projective geometry information. Clustered 3D information associated with the object(s) can be generated by partitioning and grouping 3D data points present in the 3D information. The clustered 3D information can be used to provide, e.g., measurement information, dimensions, geometric information, and / or topological information about the object(s). Segmented 2D information can also be generated from the 2D image information. Validated 2D and 3D information can be produced by cross-referencing between the projective geometry information, clustered 3D information, and / or segmented 2D image information, and used to label the object(s) in the scene.

The invention relates to the field of route selection, in particular to a route selection method under the reliability restraint condition. The method includes the obtaining step for obtaining topological information, the analyzing step for conducting reliability analysis on node equipment and optical cable links according to the topological information, the selecting step for selecting respective shortest routes for different types of services to form the shortest route list with the bandwidth resource utilization rate as the main measurement according to the result of reliability analysis, and the determining step for conducting inspection and comparison on the shortest route list for different service types according to the distribution condition of the services of the types on the basis of the service balance degree and the route reliability and selecting the shortest route with the highest reliability according to service requirements. According to the route selection method, the network bandwidth resource utilization rate is taken into consideration, and meanwhile the reliability restraint condition of nodes and the links is introduced in; the shortest route is selected, and meanwhile the requirement for the route reliability of the services is met.

The invention discloses a three-dimensional segmenting method for an STL (Standard Template Library) triangular network model in rapid molding process. The three-dimensional segmenting method comprises the following steps of: firstly, reading the STL triangular network model from an STL file into an internal storage, and establishing complete topological information of a surface patch, a side and a peak in the STL model based on an improved wing-edge structure; secondly, repeatedly searching through information in the internal storage to obtain a highest position surface patch serving as a seed surface patch in an original STL model, and searching an adjacent surface patch having the same normal vector Z-axis component symbol as the seed surface patch with a boundary expansion method on the basis to obtain a plurality of sub-STL models having the same normal vector Z-axis component symbol; and lastly, checking the boundary of each sub-STL model, recognizing and extracting covered boundary lines, and segmenting the sub-STL model by using a vertical plane defined by the covered boundary lines to further generate non-interfered sub-STL models. By adopting the three-dimensional segmenting method, three-dimensional segmentation of the STL triangular network model can be realized effectively; and moreover, the triangular network model has the advantages of high adaptability, high efficiency and low resource consumption.

The invention provides a content distribution method for minimizing cross-domain flows in a CDN-P2P fusion network. According to the method, a network scene comprises a CDN replica server, CDN content buffering servers, local tracker servers (Loc-tracker servers) and user nodes. The local tracker servers are established through an ISP. One the basis of topological information, such as link delay, link cost and the number of crossed operators, collected by the Loc-tracker servers, a path and the node with lowest transmission cost are calculated and selected, and the total cost of content distribution is controlled, so that the servers are pushed to select the nodes with low transmission cost on same ISP domains, and the purpose of optimizing node selection is achieved. The Loc-tracker servers are used for managing the nodes in local ISP domains and the CDN content buffering servers. Information exchanging is performed among the Loc-tracker servers in a P2P mode, and therefore an overlay network is formed. Generation of the cross-domain flows can be effectively reduced, operating cost of the network is reduced, waste of bandwidth resources of a backbone network is reduced, and the efficiency of the content distribution is improved.

The invention discloses an SDN-based high-volume data stream load balancing system and method, which mainly solve the problems of uneven loads and link congestion in a network core layer of the conventional data center. The system comprises a Fat-Tree underlying network and an SDN controller, wherein a topological information module, a high-volume data stream routing table module, and a high-volume data stream routing computation module are additionally arranged in the SDN controller; the high-volume data stream routing computation module computes paths for high-volume data streams according to information maintained by the topological information module and the high-volume data stream routing table module; a source aggregation layer switch adopts a packet-level multi-path routing strategy, and the scheduling processing of disordered packets is completed at a destination aggregation layer switch. The SDN-based high-volume data stream load balancing system and method provided by the invention have the advantages that a Fat-Tree network core layer adopts the multi-path routing strategy for the high-volume data streams, so as to solve the problems of uneven loads and link congestion in the network core layer of the data center; a scheduling mechanism for high-volume data stream data packets is introduced to overcome the problem of packet disordering. The SDN-based high-volume data stream load balancing system and method can be used for data forwarding.

The invention provides an attack intention recognition method based on Bayesian network inference. The attack intention recognition method is applied to the attack intention recognition of an intelligence and decision-making oriented system with a parameter learning mechanism in computer network self-organizing operation (CNSOO). The method can enable an intelligence system to recognize the attack intention of an attacker by using IDS (Intrusion Detection System) alarm information according to given host vulnerability information, network topological information and attack knowledge base and supply the attack intention to a decision-making system as a decision-making basis in a CNSOO environment. The attack intention recognition process comprises the following steps of: generating attacking scenes, fusing and matching IDS alarm information, updating conditional probability distribution caused by attacking behaviors, calculating the probability of attack intention nodes by using a clique tree propagation algorithm in the Bayesian network inference, and updating Bayesian network parameters and IDS detection capability. The calculation parameters are updated according to calculation results and historical information, so that the calculation results can be more accurate.

A system for processing spatially-referred information (spatial data), the information defines objects in a n-dimensions space and includes for each object information of form, information of position and information of attributes. The system includes structuring the spatially-referred information, by separating the topological information from the information of attributes, cutting each topologic information into geometric information constituting information of form and information of position, ordering descriptions of the objects into elementary families having the same attributes, by applying criteria formed into a hierarchy, and organizing structured information into two distinct tables comprising a block of information. The tables include a topologic table, referred to as the corpus, containing, for each elementary family, all the geometric forms defining objects with similar attributes, and a table of attributes, referred to as the index, containing the semantic and formal attributes, associated with the objects.

This invention relates to a compression code / decode method for three-dimension models based on Octree, which redivides the Octree space of the peak information of a three-dimension lattice model to calculate and analyze different kinds of nodes in them to find out one or several with the maximum number of total nodes and carries out less bit coding, re-arranging the topological information and attribute information and code based on the transmission sequence of geometrical information separately and sets separate ascending files to control transmission and display of geometrical information and the synchronous mapping of the topological and attribute information.