143 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.

An extended two tower network is used to make both a recommendation of a content item that a given user may be interested in, and a recommendation of a user that may be interested in a given content item. The extended two tower network includes a content item sub-tower, a user sub-tower, and a fusion sub-model that are jointly trained to predict a probability that a given user is interested in a given content item. The content item sub-tower and the user sub-tower are used to make an initial prediction that the given user will be interested in the given content item. The initial prediction is then input to the fusion sub-model to make a final prediction. In the case of a candidate invitee recommendation, the initial prediction may be combined with one or more interaction features and the combination input to the fusion sub-model to make the final prediction.

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 invention discloses a fast incremental learning technology based on a pulse brain-like model, and belongs to the technical field of computer vision. According to the invention, a Yolov3-tiny model is selected as a basic model of SpikingYolov3 of the spiking neural network, and the adaptability of the Yolov3-tiny model is improved; an IF neuron model is used as a neuron model of SpikingYolov3; carrying out incremental learning training on the Yolov3-tiny by adopting a method based on network expansion; the weight of the trained model is assigned to the newly constructed SpikingYolov3 through a method of converting ANN into SNN; according to the method, a test image is subjected to coding operation in a Poisson coding mode, so that the test image is converted into an asynchronous pulse sequence, the asynchronous pulse sequence is sent into a Spiking Yolov3 model to be tested and is subjected to comparative analysis with corresponding Yolov3-tiny, and a conclusion that the detection performance of the Spiking Yolov3 model is better is obtained. The SpikingYolov3 is applied to a battlefield environment, so that accurate detection of different types of targets is realized. The problem that a traditional network model needs to be retrained when encountering a new task is solved, and a new solution is provided for a detection task of a complex target.

The invention discloses a power transmission network expansion planning method and system based on an improved large M method, and the method comprises the steps: constructing a target function of a power transmission network source-network collaborative planning model with the minimum total cost; based on the objective function of the power transmission network source-network collaborative planning model, constructing constraint conditions of the power transmission network source-network collaborative planning model; decomposing the power transmission network source-network collaborative planning model into an investment planning main problem and an operation sub-problem by adopting a Benders decomposition algorithm; in the operation sub-problem, setting a large M value range for each large M constraint through a direct current power flow transfer factor matrix; and solving to obtain a power transmission network expansion planning scheme. According to the method, the large M value range of the constraint condition is set aiming at the problem of difficulty in large M method value taking in the power transmission network extension planning modeling process, the feasible solution space of the power transmission network extension planning problem is effectively reduced, and the accuracy and efficiency of model solution are remarkably improved.

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 belongs to the technical field of chip power supply networks. The invention provides a power supply network optimization method for enhancing the reliability of a chip in a strong magnetic pulse environment. According to the embodiment of the invention, the chip is designed by using the EDA tool based on the design condition of the chip, and the initial power supply network is obtained. The initial power supply network forms a closed loop as much as possible; through holes of different metal layers are enabled to be in the same vertical line as much as possible, and an open-loop structure is converted into an L-shaped structure; under the condition that the power supply requirement is met, redundant metal lines are properly added; and reducing the magnetic flux integral area through a multi-fold structure to obtain a target power supply network. The range of improving the magnetic interference resistance of the chip is expanded, the influence of an external magnetic field on a chip power supply network is considered, and a reliability optimization scheme is provided for chip design in a strong magnetic pulse environment.

This disclosure describes systems, methods, and devices related to KEK frame encryption. A device may identify, within a received authentication frame, a capability bit in a Robust Security Network Extension Element (RSNXE) indicating peer device support for Key Encryption Key (KEK) derivation during an authentication frame exchange. The device may derive the KEK during the authentication frame exchange based on mutual support for KEK derivation and derivation of a Pairwise Transient Key Security Association (PTKSA) during the exchange. The device may use a cryptographic key protection process for deriving the KEK. The device may encrypt a portion of the authentication frame using the derived KEK.

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.

The invention discloses a power transmission network extension planning method and device considering optimal consumption of new energy, and the method comprises the following steps: determining a net load disturbance acceptable domain, and calculating the reliability cost; establishing a power transmission network expansion planning model, and determining an objective function and constraint conditions of the model; processing the power transmission network expansion planning model, and solving the model; wherein the objective function of the model is line investment cost, standby cost, reliability cost and unit operation cost minimization, the quadratic term of the line cost part can be piecewise linearized, and a dual method is adopted to convert a constraint condition uncertainty model into a deterministic model for solving; according to the method, the whole model is converted into a deterministic model, so that the calculation efficiency of the model and the robustness of a planning result are greatly improved.

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.

1. The name of this design product: Gateway. 2. Purpose of this design product: to provide network expansion and data conversion. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

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 method for friction reduction during professional network expansion is implemented via a computing system including a processor. The method includes executing, via a network, an enterprise application on a remote computing system operated by a user associated with an enterprise and surfacing a professional networking UI on a display of the remote computing system during execution of the enterprise application. The method includes generating parameters that are representative of a connection between the user and each suggested professional contact based on enterprise-level data corresponding to the user and each suggested professional contact and generating friction-reducing UI elements for each suggested professional contact based on the generated parameters. The method includes receiving, via the professional networking UI, user input including a command to open a contact connection page corresponding to one of the suggested professional contacts and surfacing the corresponding contact connection page including the generated friction-reducing UI elements.

The embodiment of the utility model provides a wireless network expander. The wireless network expander comprises a circuit board, a first shielding assembly, a first antenna and a second antenna, the first shielding assembly comprises a shielding cover body and a heat dissipation piece, the shielding cover body is arranged on the circuit board, and the heat dissipation piece is arranged on one side of the shielding cover body. In the first direction parallel to the circuit board, the first antenna and the second antenna are located on the two opposite sides of the first shielding assembly and electrically connected with the circuit board. Therefore, the mutual interference between the first antenna and the second antenna is reduced, and the radiation performance of the wireless network expander is improved. And the portability of the wireless network expander is also facilitated.