40 results about "Initial topology" patented technology

A method of designing a telecommunications network, the method comprising the steps of A) for all working demand flows required to be routed in the telecommunications network, finding an initial topology of spans between nodes in the telecommunications network that is sufficient for routing all working demand flows, while attempting to minimize the cost of providing the spans; B) given the initial topology of spans identified in step A, finding a set of additional spans that ensures restorability of working demand flows that are required to be restored in case of failure of any span in the initial topology of spans, while attempting to minimize the cost of providing additional spans; and C) starting with the initial topology of spans and the additional spans identified in step B, finding a final topology of spans between nodes in the telecommunications network that attempts to minimize the total cost of the final topology of spans, while routing all working demand flows and ensuring restorability of working demand flows required to be restored in case of failure of any span in the final topology of spans. A network so designed may be implemented in whole or in part.

The invention discloses a method for establishing a wireless sensor network with small world and scale-free properties for mainly solving the problems of low energy efficiency and poor survivability of the sensor network. A realizing process comprises the following steps of: deploying the sensor network randomly, and adding super nodes according to a set ratio, wherein all the nodes broadcast andacquire neighbor information; generating small-scale initial topology randomly and selecting to add new nodes; calculating a connection probability between the new nodes and the nodes in the topologyin a distributed way according to the different node types by taking various attributes of the wireless sensor nodes into comprehensive consideration; and connecting the new nodes with the current topology randomly according to the probability, and repeating the process until all the nodes are added into the topology. The method has the advantages of high efficiency, strong practicability and survivability. The wireless sensor network topology generated by the method shows the small world and scale-free properties simultaneously, has the advantages of improving the network communication quality and the network service life, and is suitable for the construction of the sensor network having higher requirement for the energy efficiency and the survivability.

The invention relates to the novel technical field of a wireless sensor and actuator network, in particular to a power-adjustable zonal sensor network topology control method. The method is characterized by sequentially comprising the following steps: 1) an information collecting stage: a sensor sink center node which is arranged in a zonal region initiates a collecting command to a plurality of sensor network nodes which are arranged in the zonal region from the near to the distant, and the sensor nodes obtain an information channel quality parameter which is communicated with a plurality of neighbor nodes to obtain an initial topology connection diagram; 2) a topology optimizing stage: each sensor network node computes the connection priority with each neighbor node in a distributing way to obtain a topology optimizing parameter and confirm an optimization route of the nodes for transmitting a data packet; and 3) a transmitting power control stage: each node controls the powder from the near to the distant at the beginning of the sink node according to the topology optimizing parameter obtained in the topology optimizing stage, so that the interference among the communication is reduced, and the energy consumption is reduced.

A playback application is configured to dynamically generate topology for an interactive media title. The playback application obtains an initial topology and also collects various data associated with a user interacting with the feature. The playback application then modifies the initial topology, based on the collected data, to generate a dynamic topology tailored to the user. The dynamic topology describes the set of choices available to the user during playback as well as which options can be selected by the user when making a given choice. In addition, the playback application also selectively buffers different portions of the interactive media title, based on the collected data, in anticipation of the user selecting particular options for available choices.

A playback application is configured to dynamically generate topology for an interactive media title. The playback application obtains an initial topology and also collects various data associated with a user interacting with the feature. The playback application then modifies the initial topology, based on the collected data, to generate a dynamic topology tailored to the user. The dynamic topology describes the set of choices available to the user during playback as well as which options can be selected by the user when making a given choice. In addition, the playback application also selectively buffers different portions of the interactive media title, based on the collected data, in anticipation of the user selecting particular options for available choices.

An example method comprises receiving an initial topology of an electrical, receiving a selection of a region of interest, determining one or more external equivalents of the electrical network that are external to the region of interest, determining one or more internal equivalents of the region of interest, calculating a sensitivity matrix based on electrical impedances of at least one of the one or more internal equivalents and based on an amount of power exchanged when in operation, determining a subset of the sensitivity matrix as indicating highly sensitive buses, receiving historical data regarding power flows, predicting power flow for each highly sensitive buses, comparing the predicted power flow to at least one predetermined threshold to determine possible network congestion, and generating a report regarding network congestion and locations of possible network congestion in the region of interest based on the comparison.

The invention relates to a method for dividing hexahedral mesh of a piston of an internal-combustion engine, comprising the following steps: (1) a three-dimensional geometric model is built; (2) a piston ring land is removed: (3) initial topology is carried out to the piston which removes the piston ring land, and the volume of the hexahedral mesh after initial topology is carried out is more thanthe volume of the three-dimensional geometric model; (4) the piston which removes the piston ring land is divided into a two-dimensional closed surface mesh; (5) topology computation is carried out to an initial finite element model and the two-dimensional closed surface mesh, so as to obtain the finite element model; (6) a piston ring land mesh is artificially added. By adopting the method to build and divide the hexahedral mesh of the piston, the piston ring land is removed, and finally the ring land is built, so as to conveniently process irregular parts in the piston and improve the working efficiency of division of the whole hexahedral unit of the piston.

A design method of a turbine high speed shaft. The method comprises the following steps: according to the design requirements and the initial topology parameters, the initialization geometry model ofthe high-speed shaft is obtained, then the initialization geometric model axis is extracted, the adhesive treatment is carried out, a geometric axis model of a high-speed shaft composed of multiple axes is generated, the material attribute and the cross-sectional outer diameter of that geometrical axis model are then imparted, a finite element method is used to discretize the geometrical axis model, and the boundary conditions are imposed, the finite element model of high speed shaft is obtained, then, according to the structural performance requirements of the high-speed shaft, the size optimization model of the high-speed shaft is constructed, and then the size optimization model is solved to obtain the high-speed shaft optimization model, and the structural performance of the high-speed shaft optimization model is checked, and the local adjustment is carried out according to the checking result, and finally the high-speed shaft model satisfying the structural performance requirements is obtained. This design not only has short design period and high design benefit, but also has good structural performance.

The invention provides a method for automatically generating a power transmission network topology graph applied to a cloud SCADA. The method comprises the steps of (S1) randomly generating an initialtopology graph of a power transmission network, (S2) calculating a modified coordinate of each point in the initial topology graph of the power transmission network, (S3) counting and obtaining the number cross_tt of intersection points existing in an initially modified power transmission network topology diagram, (S4) initializing an endpoint distance threshold d_max and taking the initially modified power transmission network topology diagram as a topology diagram of the current power transmission network, and (S5) to (S8) updating the topology diagram of the power transmission network by aforce guiding algorithm and reducing the intersection points. According to the method, the intersection points of the topology diagram are greatly reduced, therefore, the topology diagram of the power transmission network is clearer, the analysis and design work of the staff of a power grid are facilitated, and the strong protection is provided for the monitoring control, scheduling, analysis, planning and the like of a power system.

The invention discloses a method for realizing a robust clock tree comprehensive algorithm for a near threshold. The method comprises the following steps of: 1, generating a symmetric clock tree initial topology by adopting a top-down comprehensive algorithm; and 2, completing buffer insertion on the basis of the generated topological structure, applying the approximate estimation model of the clock skew fluctuation to the buffer insertion process of various buffer sizes, and realizing the optimization process based on a genetic algorithm by taking the optimization of the clock skew fluctuation as a target. According to the implementation method of the robust clock tree comprehensive algorithm for the near threshold, the clock tree comprehensive algorithm takes the symmetrical clock tree as an initial topology to be applied to the near threshold, so that the clock tree is ensured to have very small clock skew. In the buffer insertion stage, a buffer insertion algorithm oriented to a buffer library is realized, and the process realizes selection of an optimal buffer insertion strategy from the buffer library, so that clock deviation fluctuation of a clock tree is as small as possible.

The invention provides a method for actively maintaining the connectivity of a dynamic network, such as an unmanned cluster, based on k-hop accessibility, which reduces the influence of node or link failure on the network connectivity by actively adjusting a network topology structure. The method is mainly characterized by comprising the following steps: 1) establishing an unmanned cluster networkmodel and defining a k-hop constraint local algebraic connectivity index for measuring the local connectivity of the network; 2) identifying network connectivity anomaly in a distributed manner basedon the k-hop constraint local algebra connectivity; 3) by a main node, using a topology reconstruction method based on a virtual edge to decide a topology reconstruction scheme in a centralized manner, and then sending the scheme to related nodes to adjust network topology in parallel; and 4) determining the position and orientation of the target topology by using a geometric method, and optimizing the total moving distance of the nodes in the topology transformation process. The method has the advantages that a novel index for measuring the local algebra connectivity is provided; the local optimum problem of the existing potential field method when the algebraic connectivity is improved is improved; the total moving distance of all nodes in the network topology transformation process isshortened; and it is ensured that the network is kept connected in the process of converting the initial topology to the target topology.

The invention discloses a transformer area switch physical topology identification method based on power grid total data acquisition. The method comprises the following steps: step 1, data acquisition; step 2, data initialization: taking an electric quantity curve as data generated by initial topology; step 3, data sorting; step 4, grouping of direct connection branches; step 5, branch topology generation and verification; step 6, determination of a superior-subordinate relationship of the direct connection points; and step 7, re-verification of the physical topological relation. Compared with a scheme of generating a disturbance signal and a scheme of adopting a low-current pulse signal in the market, the identification method has the following advantages: the power consumption is low, and the risk of equipment burning caused by untimely heat dissipation is avoided; data carried by the equipment is adopted for analysis, and the scheme cost is low; no harmonic wave is injected into the power grid, no interference is generated on equipment of the power grid, timing starting is not needed, and efficiency is high.

A method of construction of a feedforward neural network includes a step of initialization of a neural network according to an initial topology, and at least one topological optimization phase, of which each phase includes: an additive phase including a modification of the network topology by adding at least one node and/or a connection link between the input of a node of a layer and the output of a node of any one of the preceding layers, and/or a subtractive phase including a modification of the network topology by removing at least one node and/or a connection link between two layers. Each topology modification includes the selection of a topology modification among several candidate modifications, based on an estimation of the variation in the network error between the previous topology and each topology modified according to a candidate modification.

The invention provides a method and system for determining distribution points of newly-added black-start units. The method comprises the steps: obtaining topology information of an existing black-start unit network as an initial topology; collecting the capacity and average reactance of the black-start unit of the initial topology, and calculating the initial strength of the initial topology according to the capacity and average reactance of the black-start unit; calculating the target strength of the target black-start unit networking topology of the to-be-selected black-start unit increasing scheme; respectively calculating a strength difference value between the target strength of each to-be-selected black-start unit increase scheme and the initial strength; respectively calculating the ratio of the strength difference value of each to-be-selected black-start unit increase scheme to the corresponding investment cost, and selecting the to-be-selected black-start unit increase schemewith the maximum ratio as an execution scheme. According to the method for determining the newly-added black-start unit distribution points, a quantitative calculation means is provided for determining the black-start unit distribution points, and distribution point selection is more scientific and reasonable.

The invention belongs to the field of aerospace communication, and provides an aerospace Ethernet topology optimization method and software implementation. Therefore, the technical scheme used by the invention is that the aerospace Ethernet topology optimization method comprises the following steps of: firstly, designing any topology capable of realizing all service routing functions and a routing mode thereof according to a given time-Triggered (TT) service and a Rate-Constrained (RC) service, to obtain an initial topology and an initial routing table; then, designing an objective function which comprehensively considers architecture cost and delay performance, taking the objective function as a quantitative evaluation standard of topology, and screening out a topology scheme with the network delay as low as possible and the architecture as simple as possible. The method is mainly applied to aerospace communication occasions.

The invention discloses a method for dynamically adjusting a topology update period of a wireless sensor network. The method comprises: when each terminal node of the WSN is opened; the time slot of the initial broadcast route announcement packet is set as a random value within a specified range; topology construction instability period, each terminal node detects that the number of times of inconsistent information exceeds a preset threshold value; if yes, reducing a time slot of a broadcast routing announcement packet to quickly send a large amount of announcement information, quickly building a network, setting more consistent messages, increasing a period and inhibiting topology updating when the network is stable, setting a redundant parameter and inconsistent message counter at the moment, initializing a topology updating period if a threshold value is exceeded, and otherwise, continuing to monitor. According to the method, aiming at the condition of WSN multi-node network networking, the stability of a subsequent network can be maintained while the construction of an initial topology is accelerated.

A method for building a neural network configured to be run on a destination computing unit is implemented by a system including a computer and a memory storing a learning dataset. The method includes providing a neural network having an initial topology, and training the initial topology over the learning dataset. The topology of the neural network is optimized, which includes at least one iteration of the following steps: for each of a plurality of candidate topological changes, estimating the variation induced by the candidate topological change on: the neural network's error, and a value of at least one physical quantity needed for executing the neural network on the destination processing unit, selecting at least one of the candidate topological changes based on said estimation and updating the topology of the neural network according to said selected topological change, and training the updated neural network over the learning dataset.