132 results about "Spatial network" patented technology

The present invention relates to methods and apparatuses for analyzing molecules, particularly polymers, and molecular complexes with extended or rod-like conformations. In particular, the methods and apparatuses are used to identify repetitive information in molecules or molecular ensembles, which is interpreted using an autocorrelation function in order to determine structural information about the molecules. The methods and apparatuses of the invention are used for, inter alia, determining the sequence of a nucleic acid, determining the degree of identity of two polymers, determining the spatial separation of specific sites within a polymer, determining the length of a polymer, and determining the velocity with which a molecule penetrates a biological membrane.

Systems and methods for visualizing social graphs are provided. A user may initiate the visualization of connections between themselves and others in one or more network communities by selecting a first and second contact in one or more social networks. Contacts are selected for the visualization of the social graph, and a spatial distribution of the nodes is calculated. Nodes in the visualization of the social graph are rendered based on the calculated spatial distribution. Connections between the nodes may be rendered based on connectivity statistics calculated between the rendered nodes.

The invention provides a hydrophobic associated polymer, comprising repeating units shown in formula (I) and formula (II), wherein x: y = 1: (0.001 to 0.06); A is a monomeric unit of a hydrophobic monomer; the viscosity average molecular weight of the hydrophobic associated polymer is 5 to 35 million. Compared with the prior art, the hydrophobic associated polymer comprises two monomeric units, and a hydrophilic unit is a monomeric unit of acrylamide, can provide a hydrophilic group for a hydrophobic associated polymer, and ensures that the polymer has good water solubility; a hydrophobic unit is a monomeric unit of the hydrophobic monomer, can provide a hydrophobic side group for the hydrophobic associated polymer, and ensures that a polymer chain has a certain hydrophobic character, and hydrophobic groups gather in water due to a hydrophobic interaction to form a spatial network structure, thereby providing necessary viscoelasticity for a solution; under the combined action of the two units, the temperature resistance and salt tolerance and shear resistance of the hydrophobic associated polymer are improved.

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.

The invention discloses a method for quantifying a soil macropore spatial network structure based on the CT scanning technology. The method comprises the following steps of sample collection, CT scanning, threshold value selection, data enhancement, image cutting and binarization, three-dimensional visualization and three-dimensional quantization analysis. The method has the advantages that a professional undistributed soil sampling instrument is used for sampling, and disturbance in the undistributed soil collecting process is reduced; a CT scanner and professional three-dimensional analysis software are combined, the most proper threshold value cutting method is adopted, and three-dimensional quantifying analysis of the soil macropore spatial structure is achieved.

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.

The invention provides a method of setting up a speech recognition model, a speech recognition method and a corresponding device; a dictionary and acoustics model information are combined to obtain an acoustics layer space network; language model information is abstracted in a finite-state machine and optimized to obtain a language layer network; the acoustics layer space network and the language layer network can form a language model prediction network; the acoustics layer space network, the language layer network, and the language model prediction network form a speech recognition model. The speech recognition model can isolate a coupling relation between speech layer information and acoustics layer information, so independent network can be formed to realize fast and dynamical update of language layer information; speech research realized according to the speech recognition model has higher newly generated events and information searching capacity.

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.

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.

A method, system and apparatus of notifications in a geo-spatial social network are disclosed. In one embodiment, a method includes generating a community network of user profiles, each user profile associated with a specific geographic location, generating a display view to include a map view embodied by the community network and a user profile represented at a location in the map view associated with the specific geographic location of the user profile, and upon an occurrence of an event, generating a notification associated with the user profile. The method may also include generating the notification upon the occurrence of an event including creating, updating, modifying, moving and / or deleting the user profile, adding a claimable profile associated with the user profile, modifying and / or adding content associated with the claimable profile. The method may further include generating the notification intended for a destination and generating types of notifications.

The invention relates to a thigh stump endoprosthesis for an exoprosthetic treatment of a patient whose leg has been amputated in the thigh area, whereby the thigh stump can be pulled into a shaft to which the replica of a lower leg part and foot part of the prosthesis is attached. The inventive prosthesis includes a proximal shaft part which can be inserted inside a femur stump, whereby the shaft part is at least partially covered by an open-mesh three-dimensional spatial network structure, and includes a conical adapter on the distal end thereof. A condyle replacement which re-creates the shape of natural condyles of a knee joint can be coupled to the shaft part by means of said adapter. A cuneiform support can be joined to the condyle replacement with a wedge angle alpha which restores the valgity of the leg.

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.

One embodiment of the invention is directed to a method including constructing a path-distance oracle that provides both an intermediate vertex of a shortest path between two vertices in a spatial network and an approximate distance between the two vertices. The constructing comprises decomposing the spatial network into a set of path-coherent pairs (PCPs) that satisfy at least one predefined property.

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.

The invention relates to methods for preparing and using a sudan red magnetic molecularly imprinted polymer. The methods aim to solve the problems that the conventional separated / purified sudan red I magnetic molecularly imprinted polymer has a 'solution polymerization' phenomenon in the synthesis process and the obtained separated / purified sudan red I magnetic molecularly imprinted polymer has a non-uniform spatial network structure. The preparation method comprises the following steps of: 1, preparation of Fe3O4; 2, preparation of magnetic SiO2; 3, preparation of aminated magnetic SiO2; 4, preparation of initiator / magnetic SiO2; and 5, polymerization reaction. The using method comprises the following steps of: adding the sudan red magnetic molecularly imprinted polymer into a sample solution containing sudan red, and then sequentially performing oscillatory reaction, magnetic separation and elution. The method is mainly used for preparing the sudan red magnetic molecularly imprinted polymer.

The invention provides a GIS-based bus route planning method. Firstly, in view of the bus route problem, the shortcomings such as delaying to station, overload, congestion, high bus repetition rate and difficult riding of passengers caused by unreasonable bus route planning in the current stage, and a series of impact factors of vehicle capacity, road condition and population density distributionare analyzed, a vector map and data of the whole city are obtained, and a road network data set is established; and secondly, a scientific and rational bus route method is established by using the spatial network analysis technology of GIS in combination with the Dijkstra ant colony hybrid optimization algorithm. The invention provides a bus route planning method with higher passenger travelling efficiency.

The invention relates to a space network construction and path planning method for indoor and underground space navigation. According to the method, route planning space is divided into space in different horizontal planes, then grids with a certain resolution rate are formed according to a certain rule, then the grids are connected through corresponding channels to form an integrated three-dimensional route planning spatial network, and finally candidate planned routes are obtained from the spatial network. The construction of spatial network comprises steps of spatial data processing, obstruction and obstacle element extraction, and integrated spatial network formation. The method is suitable for planning routes in different horizontal planes for large indoor space and complicated underground space, can generate route planning spatial stereo networks, establish dynamic road networks, and plan routes, and displays corresponding road networks and route planning results on an indoor map.

The invention discloses a processing method for intelligent hydrogel using starch nano-particles as a framework, and belongs to the technical field of nutritional and healthy foods. The intelligent hydrogel having a spatial network structure is obtained by using the transnucleosidation chain extension-sugar chain entanglement reaction of skeleton water-soluble starch nano-particles as the framework. The product is the intelligent starch-based hydrogel having the advantages of good rehydration, good biocompatibility, strong gel strength, irreversible enzymatic response, reversible pH response and carrying of multi-nutrient factors. The hydrogel can realize the protection and controlled release of food function factors, and can be applied to fields of foods, biopharmaceuticals, functional materials and the like.

A power distribution network fault positioning method based on a GIS is disclosed. The method comprises the following steps of firstly, aiming at a power distribution network fault positioning problem, analyzing errors, misinformation, low efficiency and other disadvantages caused by the fault positioning method adopted at a current stage, carrying out data collection for a power distribution network and a covered geographic position, and establishing a power distribution network topology model based on the GIS in ArcGIS Pro; and secondly, with the help of the spatial network analysis, the network analysis and the visual expression function of the GIS, through combining the classical theory of a bayes formula, establishing the scientific and reasonable power distribution network fault positioning method. The invention provides the power distribution network fault positioning method capable of accurately positioning a fault.

The invention provides a spatial network route planning method and a system thereof. The method comprises the following steps: spatial environment information is acquired based on a spacecraft sourcenode, a spacecraft target node and a pre-constructed spatial network environment autonomous sensing model; based on the spatial environment information, a spatial routing scheme is generated by adopting a pre-established spatial autonomous networking and routing planning model. This routing planning method introduces spatial awareness and artificial intelligence algorithms. The invention makes theroute planning method more feasible in space, makes up for the deficiency of adaptability and flexibility of the spatial route, improves the intelligence level and autonomous operation ability of satellites and spacecraft, introduces an artificial intelligence algorithm, saves a large amount of calculation time, and speeds up data processing.

The invention relates to a modeling method for a public transportation network with a public bike sub-network based on a spatial network. The method comprises the following steps: 1) counting, recording and collecting urban public transportation network data; 2) constructing a weighted directed spatial public transportation network model; 3) constructing a weighted undirected spatial walking network model; 4) constructing a weighted undirected spatial bicycle network model; 5) constructing a three-layer coupling public transportation network model of bus, walking and public bicycle networks. According to the method provided by the invention, the public transportation network model which meets the practical requirement and considers the traditional bus, public bicycle and short-distance walking is constructed, more diverse and accurate public transport tool schemes can be accordingly supplied to the passengers and the promotion for passenger satisfaction degree and running efficiency of urban road network is benefited.

The invention discloses a spatial network enhanced OSPF routing method based on a determined link state. A routing protocol divides a spatial network state into determined link state change and undetermined link state change; the routing protocol produces a new link state notification when the determined link state change occurs, but the link state notification cannot be flooded to the network, and only a link state database and the current state of a neighbor state machine related to the link state change are updated; the original mechanism of the routing protocol is used for managing for theundetermined link state change. The spatial network enhanced OSPF routing method based on the determined link state disclosed by the invention is the low-overhead and high-performance routing protocol applied to the spatial network, the protocol overhead that the ground internet OSPF protocol is applied to the spatial network can be obviously reduced, and the routing convergence rate is accelerated.

A functional medical dressing and a preparation method thereof are provided; a multi-amino monomer is cooled with ice-water bath, a vinyl monomer and a solvent are dropwise added into the multi-amino monomer under the protection of nitrogen by using a dropper, reacting is allowed for 4 hours after dropwise adding to generate a light yellow intermediate, and the intermediate is placed on a rotary evaporator to remove the solvent under reduced pressure and is heated and depressurized to obtain multi-amino hyperbranched polymer; a modifier is added to the multi-amino hyperbranched polymer, and heating and depressurizing are performed to obtain closed spatial network structural polyamide tree-like macromolecular polymer; silver ion compound solution is added to the closed spatial network structural polyamide tree-like macromolecular polymer solution to complex-reduce the polymer to obtain stable nano silver solution; rolled pure-cotton nonwoven or degreased gauze is passed through an immersion tank holding the above nano silver solution, and is then subjected to padding, hot blast drying, cutting, packaging and cobalt 60 irradiation sterilization to obtain the medical dressing.

The invention discloses a method for encrypting a spatial network. When transmitted among a computer A, a computer B and a server A, data are processed through the following steps: the computer B carries out meaning transferring on the communication data of the computer B according to encrypted space disclosed by the server A, and the data are reconstructed to be encrypted data which can only be identified through the server A; the server A obtains the data and intercalates the data into a self-defined spatial rule, a data sequence is decrypted, if the data sequence is successfully decrypted, the data are read into main data space, and communication data needing to be fed back to the computer A are generated after the data are processed. Compared with the prior art, the method for encrypting the spatial network has the advantages of being reasonable in design, high in safety, convenient to operate, low in use cost and the like.

The invention provides a spatial network routing method based on load awareness flow dynamic adaptation, and aims to ensure efficient and reliable transmission of data and stable running of a spatial network. The method comprises a dynamic access process of an access node and a load awareness process of a backbone node. Dynamic access control of a lightweight access node is realized by an access user identity authentication mechanism, and an overlapping region is covered with the backbone node. During data transmission in a current region, network access of a next region and continuous switching of data transmission are finished, so that jittering in a data transmission process is avoided. A node load and flow awareness mechanism is used, and a backbone node comprehensive flow processing capability value is obtained through fusion calculation and transmitted to the access node. The access node adaptively and dynamically adjusts a data transmission rate according to the value, so that efficient and reliable transmission of data and stable running of the spatial network are ensured.

The invention relates to the technical field of oil and gas engineering, in particular to a temporary plugging agent for multistage fracturing of shale gas and an application. A high-density spatial network structure is formed by soluble fibers in the temporary plugging agent provided by an embodiment, the temporary plugging time is prolonged effectively and controllably, and a bridge plug is replaced; the plugging effect is good, unplugging is performed automatically after fracturing and acidification, and no damage is caused to a reservoir. According to a method provided by the embodiment, the temporary plugging agent is used for controlled temporary plugging after primary fracturing, after the bottom hole pressure is increased, a non-transformed new stratum is opened, a new crack is opened, so that dynamic classification is realized, and the bridge plug is not needed.

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.

The invention relates to the technical field of video monitoring and specifically discloses a video tracking method based on GIS network analysis and buffer area analysis. The method comprises the following steps: S1, establishing a video monitoring network based on geographic information; S2, searching an association point through a GIS network and carrying out video monitoring network analysis on the association point to track the position of a target when finding the target at a video monitoring point in the video monitoring network; S3, carrying out GIS buffer area analysis, establishing a buffer area and carrying out video monitoring network analysis on the video monitoring point in the video monitoring network to track the position of the target when the target suffers from time-and-space fracture or disappears; and S4, forming a continuous position trajectory of the target according to the video monitoring network analysis in S2 and S3. According to the method, spatial continuous tracking on the target is realized by establishing the video monitoring network of a unified coordinate system and making use of GIS spatial network analysis and buffer area analysis.

Aiming at the feature that the spatial network has time-varying topology, for solving the challenge caused by the dynamic nature to the network routing and overcoming the defects of the distributed routing and a static diagram, the invention provides an earth observation satellite network minimum expenditure routing method based on space-time diagram, a specific construction algorithm and the minimum expenditure routing strategy of the time-space diagram are given. The time-space diagram can capture a switching point of a dynamic network and is provided with the time and space dimension information. Therefore, in comparison with other method, the routing method based on the time-space diagram can provide more accurate result and more detailed information. In consideration of the transmission task requirement of the actual spatial network, the invention designs the minimum expenditure routing (MCMP) strategy, and designs the EAMP algorithm based on the earliest arrival time as the comparison object; the experiment verifies the feasibility and advantages of the time-space diagram applied to the spatial 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.