96 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 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 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 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.

The application provides a kind of city electric-heat-gas-hydrogen network coupling energy station layout optimization method and system, comprising: through data interface, the network frame structure data of the city to be optimized is collected, multi-energy network graph model is constructed, and the integrated equivalent distance of any edge is calculated;Based on the multi-energy network graph model, determine the energy station candidate layout node, decision variable set and optimization boundary, and perform adaptive allocation of load node to obtain energy station and network layout scheme;Calculate the total construction cost of the newly built energy station to construct the energy station and energy network optimization model, and obtain the optimal scheme of comprehensive performance based on multi-objective genetic algorithm optimization solution;Visual display of the optimal scheme of comprehensive performance, and generate energy station layout and network expansion optimization suggestion report.The application realizes efficient and economic matching of city multi-energy supply network and dynamic load distribution, effectively improves the overall flexibility and planning scientificity of regional energy system.

The invention discloses a self-optimization fracture network fracturing method for a coal-bed gas well based on an intelligent response material. The method comprises the steps that firstly, a shaft is prepared, and intelligent fracturing fluid initial injection and efficient sand-carrying stage triggering are conducted; 2, crack net expansion and temporary plugging steering and deep penetration stage triggering; step 3, intelligent dynamic optimization and sand paving strategy execution; 4, triggering, cementing and curing in a strong supporting stage; step 5, carrying out collaborative development and comprehensive utilization after pressing; the three components of the fracturing fluid are intelligently responded according to stratum environment changes, the monitoring unit collects signals such as underground temperature, strain and sound waves in real time, and the crack propagation form is dynamically tracked in combination with microseismic data. The method improves the fracturing effect, has refinement, controllability, compatibility and reliability, and realizes monitoring-evaluation-execution full-closed-loop control.

According to some embodiments, the disclosed method includes (i) configuring a wireless network, (ii) connecting, via the network, one or more network extenders to the network gateway, (iii) connecting one or more client devices to the wireless network, (iv) performing one or more network test operations on the wireless network, (v) determining, during the network test operations, connectivity throughput of the connection between each client device and the wireless network, and (vi) causing control of one or more of the one or more client devices, the one or more network extenders, or the network gateway based on the determined connectivity throughput between each client device and the wireless network.

This invention discloses a rapid incremental learning technique based on a spiking neuromorphic model, belonging to the field of computer vision technology. The invention selects the YOLOv3-tiny model as the base model for the SpikingYoLOv3 spiking neural network, and improves its adaptability. It uses the IF neuron model as the neuron model for SpikingYoLOv3. An incremental learning training method based on network expansion is employed for YOLOv3-tiny. The weights of the trained model are assigned to the newly constructed SpikingYoLOv3 model using an ANN-to-SNN conversion method. Poisson coding is used to encode the test images, converting them into asynchronous pulse sequences, which are then fed into the SpikingYoLOv3 model for testing. Comparative analysis with the corresponding YOLOv3-tiny model reveals that the SpikingYoLOv3 model has superior detection performance. Applying SpikingYoLOv3 to a battlefield environment enables accurate detection of different types of targets. This invention solves the problem of traditional network models needing retraining when encountering new tasks, providing a new solution for complex target detection tasks.

This invention proposes a blockchain consensus method based on device-independent quantum random number beacons. A blockchain sorting algorithm is used to rank the participating nodes. Each node sequentially requests a private device-independent quantum random number block from the beacon service network. The digital signature of the beacon is verified. Nodes that pass verification participate in the consensus process. According to an agreed-upon algorithm, the random number blocks allocated to each verified node are processed with a second hash value. Nodes whose results meet a threshold condition are selected as the chosen nodes to verify the authenticity and validity of the random number blocks of other nodes. If the verification passes, the consensus round is complete. The consensus mechanism based on device-independent random number beacons proposed in this invention has high security and fairness. Nodes can request private device-independent random number blocks through the beacon service network. The election process is low-power, more efficient, and easier for network expansion.

A system supporting parallel access of multiple optical modules includes a network interface card (NIC), a multi-channel interface module, and a NIC controller. The multi-channel interface module is connected to the NIC and has at least two optical module slots. The NIC controller includes a compatibility management module configured to: when an optical module is detected inserted into an optical module slot, independently perform an identity adaptation operation for each active optical module slot—specifically, intercepting read requests to the optical module's identity identifier area, obtaining the actual identity information returned by the optical module, querying a compatibility mapping table to obtain corresponding replacement identity information, and returning the replacement identity information to replace the actual identity information. This system effectively overcomes the compatibility bottleneck during parallel access of multiple optical modules, promoting network expansion and performance improvement.

The invention relates to a resource utilization health degree assessment method, device and equipment of an access layer optical transport network, a storage medium and a program product. Comprising the following steps: acquiring a port resource occupancy rate and a link resource occupancy rate of a network element; based on the port resource occupancy rate and the link resource occupancy rate, respectively determining the resource idleness degree and the resource shortage degree of the network element and the occupancy matching offset degree of the port resource and the link resource; determining a resource utilization health degree score of the network element according to the resource idleness degree, the resource shortage degree and the occupation matching offset degree of the port resource and the link resource; integrating the resource utilization health degree scores of the plurality of network elements included in the access domain to obtain the resource utilization health degree of the access domain; and integrating the health degrees of the resource utilization rates of the plurality of access domains included in the access layer optical transport network to obtain the health degree of the resource utilization of the access layer optical transport network. And a basis is provided for network optimization and network expansion and upgrading.

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. second electronic communications device via the second bus interface. 20 25 27 97 35 11 D ec 2 02 5 2 0 2 5 2 7 9 7 3 5 1 1 D e c 2 0 2 5 s e c o n d e l e c t r o n i c c o m m u n i c a t i o n s d e v i c e v i a t h e s e c o n d b u s i n t e r f a c e . 100 102 104 Control panel Network switch 200N Expansion device Expansion Expansion device 200A device 200B 106A 1 / 6 Peripheral device Peripheral device 106C Peripheral device 106F 108A 106B Peripheral device 106D Peripheral device 106G 108C Peripheral device 108B Peripheral device 106E Peripheral device 106H FIG. 1 20 25 27 97 35 11 D ec 2 02 5 2 0 2 5 2 7 9 7 3 5 1 1 D e c 2 0 2 5 C o n t r o l p a n e l N e t w o r k s w i t c h 1 / 6 P e r i p h e r a l d e v i c e P e r i p h e r a l d e v i c e P e r i p h e r a l d e v i c e P e r i p h e r a l d e v i c e P e r i p h e r a l d e v i c e