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132 results about "Spatial network" patented technology

A spatial network (sometimes also geometric graph) is a graph in which the vertices or edges are spatial elements associated with geometric objects, i.e. the nodes are located in a space equipped with a certain metric. The simplest mathematical realization is a lattice or a random geometric graph, where nodes are distributed uniformly at random over a two-dimensional plane; a pair of nodes are connected if the Euclidean distance is smaller than a given neighborhood radius. Transportation and mobility networks, Internet, mobile phone networks, power grids, social and contact networks and neural networks are all examples where the underlying space is relevant and where the graph's topology alone does not contain all the information. Characterizing and understanding the structure, resilience and the evolution of spatial networks is crucial for many different fields ranging from urbanism to epidemiology.

A method and system for realizing a visual SLAM semantic mapping function based on a cavity convolutional deep neural network

The invention relates to a method for realizing a visual SLAM semantic mapping function based on a cavity convolutional deep neural network. The method comprises the following steps of (1) using an embedded development processor to obtain the color information and the depth information of the current environment via a RGB-D camera; (2) obtaining a feature point matching pair through the collectedimage, carrying out pose estimation, and obtaining scene space point cloud data; (3) carrying out pixel-level semantic segmentation on the image by utilizing deep learning, and enabling spatial pointsto have semantic annotation information through mapping of an image coordinate system and a world coordinate system; (4) eliminating the errors caused by optimized semantic segmentation through manifold clustering; and (5) performing semantic mapping, and splicing the spatial point clouds to obtain a point cloud semantic map composed of dense discrete points. The invention also relates to a system for realizing the visual SLAM semantic mapping function based on the cavity convolutional deep neural network. With the adoption of the method and the system, the spatial network map has higher-level semantic information and better meets the use requirements in the real-time mapping process.
Owner:EAST CHINA UNIV OF SCI & TECH

Method for locating and guiding large parking lot based on location two-dimensional code

The invention provides a method for locating and guiding a large parking lot based on a location two-dimensional code which can be used for locating and route querying in a large indoor space, and can effectively solve the accuracy requirement and cost problems of the existing locating technology in the indoor and closed areas. The method includes: establishing a two-layer network model of a large indoor parking lot; setting a location two-dimensional code and its association with a double-layer network; and providing a pedestrian vehicle path planning method based on the two-layer network model. The location two-dimensional code contains the coordinate information of the corresponding location, and is associated with the spatial network. The parking user uses a mobile terminal to identify the two-dimensional code location tag in the parking lot, and a service platform can provide functions such as parking allocation, guidance and car search. The method has the advantages of simple operation, high degree of informationization, precise positioning in indoor and closed areas, improved parking efficiency and parking lot management efficiency, reduced maintenance cost of parking lots, and high practical value and promotion value.
Owner:SOUTHEAST UNIV

Spatial network node uniform deployment method based on virtual force

The invention provides a spatial network node uniform deployment method based on virtual force. The implementation process of the method includes the first step of setting a virtual force algorithm model, the second step of setting sensor nodes based on the virtual force, wherein each sensor node only generates repulsive force on adjacent nodes within a balance ball and only generates gravitational force on adjacent nodes beyond the balance ball and within a communication ball, the third step of allowing each node to calculate center gravitation according to the distance between the node and a target region at each time step and calculate the virtual force and uniform force according to the relations between each node and the adjacent nodes, the fourth step of conducting vector addition on all the force to obtain resultant force, allowing the individual nodes to continuously adjust the positions till force balance and then allowing the whole network to start to perceive the target region and execute tasks. Compared with the prior art, the spatial network node uniform deployment method based on the virtual force has the advantages that the nodes are deployed in the target region in a self-adaptive mode when moving in a three-dimensional space freely, and the practicality is high.
Owner:LANGCHAO ELECTRONIC INFORMATION IND CO LTD

Routing method adapting to make-and-break connection data transmission of spatial network link

ActiveCN106059920AQuick updateConducive to space intermittently connected network data transmissionData switching networksRouting tableProtocol overhead
The invention discloses a routing method adapting to make-and-break connection data transmission of a spatial network link. By using the routing method disclosed by the invention, the convergence rate can be significantly improved, and the overhead of a routing protocol can be significantly reduced. The routing method is implemented through the following technical scheme: each routing node receives routing node three-dimensional location information through a measurement and control link, a predicted link state matrix is acquired, link state information and a predicted routing table of the routing node at each link variation moment are calculated, and the calculated link state information is stored into a link state information database; a sub-group to be sent acquires a link variation moment and a break-make condition through the predicted routing table, a routing node to-be-sent sub-group stores the link state information into a link state information database through switching each routing node variation and variation moment, and the link state information is written into a predicted route calculation matrix; when an OSPF (Open Shortest Path First) reaches a full state, each routing node calculates an actual routing table again according to the updated link state information database so as to replace the predicted routing table.
Owner:10TH RES INST OF CETC

Electret non-woven filter material for air filtering

The invention discloses an electret non-woven filter material for air filtering.An evenly-distributed three-dimensional spatial network structure is formed by 0.06D PET superfine fibers and 30D PE/PET skin core complex fibers, linkage joints are formed by the skin core complex fibers and the fibers in contact with the skin core complex fibers, and PTFE coatings are arranged on the surfaces of the superfine fibers and the skin core complex fibers.A preparation method of the electret non-woven filter material comprises the steps that the PET/PET figured sea-island staple fibers and the PE/PET skin core complex short fibers are mixed according to a certain mass ratio and carded, and the electret non-woven filter material is formed through needling net forming, alkali liquor melting, roll compacting and washing, PTFE emulsion dipping, tentering heat shaping and cooling curing.The electret non-woven filter material has the advantages of being high in strength, stable in size and small in resistance.The filter material is high in porosity, small and even in aperture and good in breathability.The electron work function is high, the dielectric constant is small, and the static adsorption effect on PM2.5 dust is good.Super-hydrophobic performance is achieved, and the static adsorption function of the filter material cannot be weakened by damp air.
Owner:QINGDAO JINMEISHENG NON WOVEN CO LTD

Network transmission method adopting spatial network coding

InactiveCN103368694AImprove performanceSolve the problem of sudden increase in calculationError preventionInformation transmissionSpatial network
The invention discloses a network transmission method adopting spatial network coding, which belongs to a network information transmission method and is used for solving the problems of quick increase in the calculated amount in the presence of a clustering phenomenon and larger calculated amount during solving of a linear programming optimal solution existing in the conventional linear-partition-based spatial network coding method. The method comprises the following steps: (1) initializing; (2) forming a constraint rectangle; (3) partitioning; (4) solving a linear programming optical solution before balance; (5) adjusting a relay point to a balance position; and (6) solving a linear programming optical solution after balance. According to the method, non-linear-partition-based spatial network coding is adopted, so that the problem of quick increase in the calculated amount in the presence of the clustering phenomenon on a given terminal point existing in the linear-partition-based method is solved; and the calculated amount can be further reduced during linear plan solving by removing relay points inside a terminal point constraint rectangle but outside a terminal point convex hull via preprocessing, so that the overall performance of network transmission is improved effectively.
Owner:HUAZHONG UNIV OF SCI & TECH

A composite modified hydration heat control material and its preparation method and application

ActiveCN104628296BImprove polarity characteristicsImprove freeze-thaw resistanceHigh resistanceFreeze thawing
The invention relates to a composite modified hydration heat regulation material. Starch is firstly reacted with an acid catalyst and a crosslinking agent, and then a product is reacted with alkenyl succinic anhydride to obtain the composite modified hydration heat regulation material, wherein the amount of the acid catalyst is 5 to 25 % of the mass of the starch, the amount of the crosslinking agent is 1 to 5% of the mass of the starch, and the amount of the alkenyl succinic anhydride is 10 to 30% of the mass of the starch. The invention also provides a preparation method and application of the hydration heat regulation material. The regulation material is prepared by a starch crosslinking reaction, and has a spatial network structure, and high resistance to acid and alkali and high shear resistance, the peak value of the hydration heat release rate can be effectively reduced, and the compressive strength of concrete is improved; meanwhile, by introducing a polar acetyl functional group, the polarity characteristic of the hydration heat regulation material is improved, the number of intermolecular hydrogen bonds is reduced, and the freeze-thaw property of the material is improved; and the modified hydration heat regulation material has the advantages of reducing the surface tension of a cement pore solution, generating independent closed bubbles, also playing an air entraining role of a three-dimensional network structure, improving the freeze-thaw property of concrete, and being favorable for the practical application of the hydration heat regulation material.
Owner:JIANGSU SOBUTE NEW MATERIALS

Behavior recognition method based on deep residual network

The invention discloses a behavior recognition method based on a deep residual network. A spatial network and a time network are respectively constructed by using the deep residual network, and the method comprises a training stage and a test stage: in the training stage, extracting an original frame and an optical flow of a training video, and respectively sending the original frame and the optical flow into the spatial network and the time network for training; in a test stage, extracting an original frame and an optical flow of a test video, respectively sending the original frame and the optical flow to the space and time network models obtained by training, and respectively obtaining a score of each category to which each behavior belongs by each model; and the classification scores of the two models are fused, and a final behavior category is judged through a softmax classifier. According to the method, the features effective to the current behavior can be enhanced according to the importance degree of the feature channel, and the smaller features are suppressed, so that the expression ability of the model to the input data is improved. The method has relatively high behaviorrecognition accuracy, and particularly has relatively good performance in some complex actions and actions which are relatively difficult to recognize.
Owner:HANGZHOU DIANZI UNIV
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