114 results about "Network expansion" patented technology

A system for affinity-based user acquisition is disclosed. An affinity analysis agent analyzes affinity patterns from existing customers and automatically identifies potential referrals without accessing message content. A relationship mapping agent calculates relationship strength between customers and non-customers based on communication frequency, interaction duration, timing patterns, and automatically finds the high-probability network candidates by scoring these relationships. An outreach and engagement agent creates personalized referral offers using relationship information and delivers them through optimal communication channels at ideal times. When someone accepts a referral offer, a billing integration AI agent may be initiated for automated account creation and service activation through identity verification, service selection, and account activation. Each new individual becomes part of the network. The AI communication agents analyze affinity patterns associated with the new individuals for discovering additional compatible individuals through graph traversal algorithms and centrality analysis.

The invention discloses a network-on-chip construction method and device, a medium and a product, and relates to the technical field of network-on-chip design, and the method comprises the steps: building a bottom layer cellular network based on a cellular topological structure, each node in the bottom layer network comprises a router and a processing unit, and carries out the data interaction with an adjacent node; the method comprises the following steps of: symmetrically dividing a network into a plurality of geometric sectors with the same coverage angle by taking a center node of a bottom-layer network as an original point, and selecting at least one node from each sector as a cross-layer node; and connecting the cross-layer nodes to corresponding nodes in the top-layer switched network through additional channels, wherein the top-layer network nodes only comprise routers and realize full interconnection through the additional channels. According to the invention, the long-distance communication is transferred to the top switching network through a hierarchical structure, the data transmission hop count and signal delay are effectively reduced, the hardware resource consumption is reduced, and the network expansibility and the communication efficiency are improved.

The invention discloses an unmanned helicopter control method based on a fuzzy neural network extended state observer, and belongs to the technical field of transverse unmanned helicopter flight control, and the structure of a transverse unmanned helicopter flight controller comprises an FNNESO-RBSC controller, a control strategy and a transverse unmanned helicopter flight dynamics model; the FNNESO-RBSC controller calculates transverse, longitudinal, course and vertical channel control quantities according to system input and output information, the control quantities are distributed to all control surfaces of the transverse unmanned helicopter through a control strategy and act on a controlled object of the transverse unmanned helicopter, object state response of the transverse unmanned helicopter is changed under the action of aerodynamic force, and the control surfaces of the transverse unmanned helicopter are controlled. And the target flight state is controlled. According to the method, the fuzzy neural network is adopted to transform the extended state observer, and the adaptability of the extended state observer is improved, so that the unknown total disturbance needing to be compensated in the backstepping control law is more effectively obtained.

The invention discloses a power system distribution robust scheduling optimization method based on optimal configuration, and relates to the field of power system robust scheduling, and the method comprises the steps: carrying out the coupling modeling of a power transmission network extension plan, a DPFC and an energy storage device, and solving a model to generate an optimal configuration scheme; constructing an uncertainty set capable of being dynamically updated, and obtaining a day-ahead scheduling scheme by adopting a dual-stage distribution robust optimization method in combination with the optimal configuration scheme; on the basis of a day-ahead scheduling scheme, a hybrid robust and adaptive model prediction control framework is utilized, and a real-time control parameter of the DPFC and a rapid power adjustment instruction of energy storage are generated through rolling optimization; according to the invention, by combining optimal configuration, dual-stage distribution robust optimization and hybrid robust adaptive model prediction control, collaborative optimization of long-term planning and short-term scheduling is realized, and through real-time model parameter updating and dynamic uncertainty processing, real-time scheduling is realized. The problems that a scheduling scheme is insufficient in robustness, and economical efficiency and real-time adaptability are difficult to consider are solved.

The invention discloses a generative adversarial fracture network expansion simulation system and a method thereof. The system constructs a digital twinborn model of crack propagation based on a generative adversarial network. The generator adopts a 3D convolutional neural network structure and inputs geomechanical parameter tensors to generate a three-dimensional fracture network form; a discriminator is introduced into a physical constraint module, a fracture mechanical equation is embedded into a discrimination process to serve as a regularization item, and it is ensured that a generated crack meets mechanical rationality. In the training process, a crack fractal dimension evaluation algorithm is developed, the Hausdorff fractal dimension of the generated crack network is calculated, and the Hausdorff fractal dimension is compared with the real crack network fractal dimension to serve as constraint loss. In the application of shale oil horizontal well fracturing design, the matching degree of the fracture network generated by the system and the microseism monitoring result reaches about 89%, and the distribution optimization efficiency of the proppant in the complex fracture network is improved by about 3 times.

The embodiment of the invention discloses a data transmission system, a VNI distribution method and device and a medium, the system comprises an SDN controller, an access switch, a core network device and a target switch, and the SDN controller is used for distributing a unique corresponding VNI for a tenant and issuing a mapping relation between tenant information and the VNI to the access switch; the access switch is used for determining a target VNI corresponding to the tenant information based on the stored mapping relationship, packaging a VXLAN header containing the target VNI outside an original data packet, and sending the packaged VXLAN data packet to the core network; the core network equipment is used for transmitting the packaged VXLAN data packet to the target switch through the IP network; and the target switch is used for sending the analyzed original data packet to the target virtual machine through the target host. By adopting the technical scheme, the problem of network expansion caused by limitation of the number of VLANs is solved.

The invention discloses an end-to-end incremental target detection method through internal feature alignment and task decoupling. The method comprises the following steps: fusing a task alignment learning module in a teacher network; a task decoupling extension strategy module, a task alignment learning module and a knowledge distillation module are fused in the student network; the task alignment learning module combines distribution focus loss, classification loss and boundary box regression loss as a final optimization target of the teacher network or the student network; when a new task is processed, a category information header output by a student network firstly passes through a task decoupling network expansion module to decouple new category information and old category information; for a new category, the student network directly outputs a position information head and a category information head with information of a new target; and for the old category, the student network distillates the category information header and the position information header of the teacher network through knowledge, so that the output position information header and the category information header acquire the information of the old target. According to the invention, the network identification precision can be effectively improved.

The invention provides a network expansion method for an automobile open system architecture classical platform. The network expansion method specifically comprises the following steps: constructing a universal asynchronous transceiver communication protocol stack; packaging the software module into a user-defined Ethernet driving module of an automobile open system architecture classic platform so as to provide a standard interface for a communication protocol stack; the method comprises the following steps: mounting a user-defined Ethernet driving module into a classic platform system of an automobile open system architecture as a bottom network card of a transmission control protocol / internet protocol stack; and creating a point-to-point protocol virtual network card. According to the invention, the problems of large development amount, high cost and low reliability of communication between chips in the prior art are solved.

The invention discloses a power distribution system unit cluster net rack extension planning method and device based on reliability explicit constraint matrix reduction, and the method comprises the following steps: firstly, obtaining the system data of a to-be-planned region, and determining related parameters; secondly, a reliability explicit calculation method capable of reducing the matrix scale is adopted, an MILP model of multi-contact power distribution system unit cluster expansion planning is constructed, and an objective function calculation expression and various constraints are provided; comprising power flow constraints and network topology constraints considering network reconstruction under normal and fault conditions, virtual topology constraints under normal and fault conditions, and reliability index calculation equations and constraints; and finally, based on the input parameters, solving the MILP model by using a solver to obtain main line and tie line planning results of the to-be-planned region in each stage in the future. Aiming at the medium-voltage power distribution network and considering the reliability requirement of the planning area, the invention provides the multi-stage planning method for the power supply unit cluster in the power distribution network taking a multi-contact form as a target networking structure, an investment scheme can be determined in each planning stage, and the reliability and the economical efficiency of the planning are favorably improved.

The invention belongs to the field of oil and gas development and energy utilization, particularly relates to a dynamic and static coupling simulation method for hydraulic-detonation combined fracturing transformation, and aims at solving the problem that in the prior art, the transformation effect is poor when fracturing transformation is conducted on deep-ultra-deep reservoirs. The method comprises the following steps: constructing a hydraulic-detonation fracturing transformation dynamic and static coupling numerical calculation model; through a discontinuous calculation method, the expansion process of the hydraulic fracturing main fracture under the static condition is simulated, and after the preset main fracture length is reached, static simulation is ended; keeping the model stress and the geometrical shape of the main fracture unchanged, loading detonation shock waves in a preset detonation area, converting a static boundary condition into a dynamic boundary condition, performing detonation pressure fracture network expansion process simulation under the dynamic condition, and after a preset simulation time is reached, ending the dynamic simulation and outputting a fracture network spatial configuration. By means of hydraulic-detonation fracturing dynamic and static coupling simulation calculation, the effect of deep-ultra-deep reservoir fracturing transformation is improved.

The invention discloses a distributed cooperative interference management method for a multi-task air federated learning system, and the method comprises the steps: firstly, obtaining channel information between each base station and associated edge equipment, and an interference temperature value between the base stations, so as to construct a communication parameter optimization model; secondly, calculating the optimal transmission power and the optimal noise reduction factor through interference temperature negotiation between paired base stations by adopting a distributed coordination mechanism; then, all base station pairs are traversed circularly, and collaborative optimization of power and noise reduction factors of the whole network is completed; and finally, the edge equipment executes air aggregation transmission of gradient signals based on the optimal transmission power, and the target base station completes signal processing and updates the cell model according to the optimal noise reduction factor of the target base station. According to the distributed cooperative interference management method, the cross-cell performance balance of a multi-task system can be remarkably improved, the communication and calculation burden can be effectively reduced, the network expansibility and stability are improved, and the distributed cooperative interference management method is more suitable for multi-task air federated learning in a large-scale network environment.

Embodiments of the invention relate to Layer 2 network extensions over Layer 3 networks using packages. Techniques are disclosed for session-based routing within a Layer 2 (L2) network of an Open System Interconnect (OSI) model extended over a Layer 3 (L3) network. In one example, an L2 network connects a first client device to a first router and a second client device to a second router. And the L3 network is connected with the first router and the second router. A first router receives, from a first client device, a non-session-based L2 frame destined for a second client device. The first router forms an L3 packet including an L3 header specifying L3 addresses of the first router and the second router and a protocol of L3 service selection based on the L2 frame, a payload including the L2 frame, and metadata including a session identifier clearly identifying the L2 frame, and forwards the L3 packet to the second router. The second router restores the L2 frame from the payload and forwards the L2 frame to the second client device.

The present invention relates to a network expansion method, device and electronic device for a half-duplex bus, the method comprising: parsing an original data packet and cutting it into multiple smaller data segments according to a preset segmentation rule, and assigning a unique serial number to each segmented data; dynamically selecting multiple transmission paths according to real-time network conditions, the network conditions including network bandwidth, transmission delay, packet loss rate and error rate; regularly analyzing the network topology, identifying bottleneck nodes, and optimizing network transmission performance; sequentially reorganizing the segmented data based on the unique serial number, and outputting the complete original data packet. The invention improves data transmission efficiency by dividing a large data packet into multiple small segments and adopting a multi-path transmission strategy, and can effectively solve the problems of network congestion and limited transmission of large data packets caused by single-path transmission.

1. Name of the product in this design: PCIE TO 4-CH ETH Board (B). 2. Purpose of this product design: An embedded expansion board with 4 network ports. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

Expansion joint and associated heat transfer network This expansion joint (100) is configured to isolate a portion of a pipe from a heat transfer network. The expansion joint (100) comprises a main body (102), which generally has a tube shape which extends along a longitudinal axis (A100), which is made of a thermally insulating material and which comprises two end portions (104A, 104B). The main body (102) comprises a central portion (108), which is interposed between the two end portions (104A, 104B) along the longitudinal axis (A100) and which is secured to each of the end portions (104A, 104B). The central portion is made of a material more flexible than a material of each of the end portions, the material of the central portion (108) having a modulus of elasticity at least 10 times greater than a modulus of elasticity of the material of each of the end portions (104A, 104B), preferably at least 50 times greater.Figure for abstract: 2.

The invention discloses an aviation maintenance tool data acquisition method and system based on the Internet of Things technology. The system is composed of an aviation maintenance tool additionally provided with an Internet of Things communication unit, aviation maintenance portable maintenance auxiliary acquisition equipment (PMA), an aviation maintenance special interaction terminal and a digital aviation maintenance platform. The method comprises the following steps: an aviation maintenance platform generates tasks according to maintenance levels, constructs a basic data set, a process set and a maintenance result standard set at an interaction terminal, and generates tool operation process steps; the PMA is connected with the interactive terminal and the maintenance tool through the Internet of Things to form a hybrid ad hoc communication network, it is ensured that tool operation data is rapidly and accurately submitted to the interactive terminal, and the interactive terminal automatically judges the data compliance according to the standard and generates a maintenance result report. According to the method, routing is selected by using an ad hoc network genetic algorithm, network expansion is driven by PMA, data is stably transmitted in real time, manual filling errors and tedious checking are avoided, the adaptability and the anti-interference capability are high, and the working efficiency of aviation maintenance field personnel can be improved.

The invention relates to the technical field of resource allocation, in particular to a network capacity expansion and resource allocation intelligent decision-making system based on communication big data, which comprises the steps of collecting path node load records, identifying abrupt change nodes, classifying and summarizing the abrupt change nodes, extracting nodes with non-uniform structures and high-density distribution nodes, screening response lag and power consumption stable nodes, and positioning a capacity-expandable channel. And screening out deployment nodes according to the path number and the structural relationship, and outputting a deployment decision result. The method comprises the following steps: identifying load abrupt change fluctuation of adjacent nodes in a path, positioning load abnormal nodes, extracting a structure non-uniform bottleneck in combination with a connection number and distribution density, screening response lagging nodes according to a load trend, and determining nodes with expansion conditions by using power consumption stability and channel connectivity. And allocating priorities according to path coverage and structural relationship sorting, and supporting collaborative configuration and structural balance of resources.

The invention relates to the technical field of wireless communication network distribution, and discloses a high-density small local area network multiple access cooperation rapid network distribution method and system, a transmitting end generates a network identifier containing a code division multiple access password and a frequency division multiple access table according to a preset mode, the preset mode comprises an address preset mode and an address distribution mode, and the address distribution mode comprises a code division multiple access password and a frequency division multiple access table; in the address distribution mode, the transmitting end and the receiving end dynamically enter a network distribution mode according to environmental interference, dynamically generate a unique network identifier, and finish broadcasting and receiving of the network identifier in a preset frequency band; the transmitting end sequentially initiates network distribution requests according to the dynamic interval time, after receiving the network distribution requests, the receiving end performs dual verification on code division multiple access passwords, frequency division multiple access table integrity and secret keys in the requests, network distribution is completed if verification is passed, and a communication link is established; according to the invention, simultaneous and stable coexistence of multiple networks in a high-density small local area network is realized, low-delay network distribution and communication are achieved, the anti-interference capability and the network expansion capability of the distribution network are improved, and the exclusive demand of a multi-transmitting-end coexistence scene is adapted.

Methods are described for configuring a UE for small data transmission configurations and NES configurations. Certain embodiments include sets of mechanisms for a UE served by a cell, which in turn is served or managed or operated by a network node, to conditionally or adaptively update SDT based on various possible rules. For example, in some embodiments, RRC can configure the at least two sets of configurations for SDT procedure, one for non-NES mode and another one for NES mode.

The application discloses a network-on-chip construction method, device, medium and product, and relates to the technical field of network-on-chip design. The method comprises the following steps: establishing a bottom-layer cellular network based on a cellular topology structure; each node in the bottom-layer network comprises a router and a processing unit, and performs data interaction with adjacent nodes; taking a center node of the bottom-layer network as an origin, the network is symmetrically divided into a plurality of geometric sectors with the same coverage angle, and at least one node is selected from each sector as a cross-layer node; and the cross-layer node is connected to a corresponding node in a top-layer switching network through an additional channel, and the top-layer network node only comprises a router and is fully interconnected through the additional channel. The long-distance communication is transferred to the top-layer switching network through the hierarchical structure, the data transmission hop count and signal delay are effectively reduced, the hardware resource consumption is reduced, and the network expansibility and communication efficiency are improved.

The invention provides a light modular multilevel converter topology with high-power-load network construction capability and a control strategy, and belongs to the field of flexible direct current power transmission and distribution. A conventional modularized multi-level current converter is subjected to double limitation of the overcurrent capability and the energy storage capacity of a semiconductor device in a network construction scene, so that the capacity expansion and transformation cost is high; the invention discloses a light modular multi-level converter topology with high-power load network construction capability and a control strategy, the voltage modulation degree of the modular multi-level converter is improved to reduce the bridge arm current of the converter during high-power load network construction support, the reactive support capability is enhanced, and a super-capacitance energy storage unit is configured to realize the high-power load network construction capability. Compared with the existing topology with high modulation degree operation capability, the topology provided by the invention effectively realizes the light-weight target, reduces the number of capacitors and switching devices, and reduces the network construction capacity expansion reconstruction cost.

A planning method and system for integrated photovoltaic-energy storage-charging-swapping stations considering iterative electricity and transportation demand is presented. This method first constructs a rolling planning model for integrated photovoltaic-energy storage-charging-swapping stations within a power-transportation coupled network, aiming to minimize the overall system charging and swapping cost. Then, the rolling planning model is solved iteratively to obtain a planning scheme for the integrated photovoltaic-energy storage-charging-swapping station that includes configuration schemes for charging and swapping, photovoltaic and energy storage facilities, charging and swapping and transportation demand allocation schemes, and power-transportation coupled network expansion schemes. This invention considers the impact of technological upgrades, changes in user demand, and network expansion on the supply and demand relationship of charging and swapping services during different planning periods. By continuously optimizing the planning and operation schemes of charging and swapping stations and the power-transportation coupled network, it minimizes the overall system charging and swapping cost while meeting the time-varying charging and swapping and transportation needs of electric vehicle users.

The application discloses a kind of logic reasoning method, equipment and medium based on knowledge enhancement and capsule network coordination, wherein the method comprises: constructing public knowledge local database, locally deploying vectorization database and graph network database;According to the preliminary search of logic reasoning text, and based on graph network expansion search range;Logic text, question and related background knowledge are input into large language model, generate logic reasoning link, and integrate all contents, obtain knowledge enhanced logic reasoning text;According to the knowledge enhanced logic reasoning text, construct semantic graph and connection graph;Semantics graph and connection graph double graph are respectively imported into capsule network, and dynamic routing algorithm is used to promote low-level capsule to high-level capsule progression;Multiple high-level capsules in double graph are respectively executed average fusion operation to extract the global feature of graph;The global features of double graph are integrated by fusion strategy to form the final knowledge text feature, and the final option is obtained.

The application discloses a time slot allocation method and system suitable for an underwater dynamic topology network. Firstly, nodes are classified through a node independent set classification method based on underwater acoustic channel space-time mutual non-interference; then time slot expansion and allocation are performed for the accessed nodes through a node mutual prime fixed access period dynamic access time slot allocation mechanism; and finally, network channel resource information synchronization is realized through a time slot delay expansion mechanism, and network channel resource information is updated. The application can effectively solve the problems of mobile node access and network expansion, and can allocate channel resources for newly-joined nodes, fully utilizes channel resources and guarantees network stability.

This invention discloses a conveniently installed network expansion module assembly, including an expansion module assembly housing. A locking block, fixedly connected to the back of the housing, is provided on the back of the housing. The locking block has a slot for engaging with one side of a guide rail. A rail-locking mechanism is installed on the housing for engaging with the other side of the guide rail. The rail-locking mechanism includes a fixing plate fixedly connected to the back of the housing. A locking tongue is slidably connected to the fixing plate. The locking tongue is positioned opposite to the locking block, and a compression spring is provided between the locking tongue and the fixing plate. The compression spring pushes the locking tongue towards the locking block. This invention uses a retractable locking tongue to engage with the back of the guide rail, facilitating installation, preventing the expansion module assembly from moving and causing wiring disconnection, and improving installation and wiring stability.

The invention belongs to the technical field of pipe network detection, and discloses a pipe network detection system and a pipe network detection method. The pipe network detection system comprises a detection robot, an analysis control device and a transmission device. The detection robot comprises a panoramic camera module, the detection robot can move in a to-be-detected pipeline, and the panoramic camera module can collect images in the to-be-detected pipeline. The analysis control device comprises a video display module and an analysis module, and the video display module and the analysis module are in communication connection with the panoramic camera shooting module through the transmission device and can receive image information collected by the panoramic camera shooting module. The video display module can display images collected by the panoramic camera module, and the analysis module can generate a pipe network three-dimensional model, a pipe network expansion graph and a detection analysis report according to image information. The pipe network detection system can improve the efficiency and accuracy of pipe network detection.

The invention relates to the technical field of enterprises, and aims to solve the problems that in the existing expert semantic network construction process, an expert still stays in an unstructured carrier of text archives, manual records and experience summarization, so that the ability boundary of an expert is fuzzy, professional attributes lack clear semantic connection, and systematic semantic link expression is difficult to form; the enterprise field expert semantic network construction system comprises a pre-division module, an updating module, a reconstruction module and a network construction module. Through semantic hierarchy construction, relation extraction and network expansion mechanisms, the internal logic of expert knowledge can be subjected to deeper semantic modeling, and the expert knowledge originally dispersed in documents, experience records and unstructured texts can be extracted, analyzed and organized in a unified manner, so that the expert knowledge has expandability, relevance and reasonability, and the expert knowledge can be extracted, analyzed and organized in a unified manner. Therefore, the integrity and accuracy of the expert knowledge in the enterprise field in the semantic description level are effectively improved.

What is disclosed is providing a multi-tenant virtual private network (VPN) to a plurality of tenants, wherein tenant VPNs are associated with respective private networks; identifying a first subnet that makes up a portion of a first private network associated with a first tenant of the plurality of tenants; translating the first subnet into a first multi-tenant VPN address translation (MT-NAT) subnet that is used as part of a first tenant VPN to extend the first private network across a public network; identifying a second subnet that makes up a portion of the first private network, that is not contiguous with the first subnet, and that has not been translated into the first MT-NAT; and translating the second subnet and a proper subnet of the first subnet into a second MT-NAT subnet without impacting subnet fragmentation of the first private network. Also disclosed are systems and methods for this.

Systems and methods related to an electronic communications system expansion device. The device includes a control input / output interface, a first bus interface, a second bus interface, and an electronic processor. The processor is configured to, when operating in the expander mode, receive, from a control panel, a first communication according to a first communications protocol at the control input / output interface, and output, from both the first serial communications bus interface and the second serial communications bus interface, the first communication according to a second communications protocol, the second communications protocol being a wired communications protocol. The processor is further configured to, when operating in the extender mode, receive, at the first bus interface, a second communication according to the second communications protocol from a first electronic communications device, and output the second communication according to the second communications protocol to a second electronic communications device via the second bus interface.

The application provides a kind of APT malicious traffic detection method, it is related to network security technical field.The method includes: copying flow data to detection system, processing the characteristics of sample therein and converting into two-dimensional image, according to attribute splicing multiple samples and then inputting neural network model containing seed network.The neural network model is subjected to depth remapping, width remapping and internal remapping;Then through network expansion, architecture adaptation and parameter adaptation, neural network architecture search is completed, target network is obtained, and the two-dimensional image is detected using the target network.The method can improve the real-time performance, accuracy and comprehensiveness of malicious traffic detection.