81 results about "Network pattern" patented technology

The invention relates to the technical field of IPv6 self-configuration, in particular to an IPv6 network mode self-adaptive configuration method and system based on an RA message. In the method, a finite-state machine establishes a state transition path according to the combination relation of M and O flag bits in an RA message cache set and prefix field content, converts a network mode recognition process into a quantifiable state judgment sequence, and sends the state judgment sequence to the RA message cache set; configuration ambiguity caused by flag bit fluctuation in traditional static judgment is eliminated, pattern recognition under network environment changes has continuity and self-consistency, the classification regression tree constructs a branch judgment path with the duration, the advertisement interval and the prefix consistency of an RA source as characteristic variables, an optimal node is selected through a hierarchical splitting algorithm, and the judgment accuracy is improved. The dynamic mapping of stateful and stateless configuration paths is realized, the misjudgment rate of configuration branches is reduced, and the address allocation delay is optimized, so that the IPv6 self-configuration has a structured decision-making capability and a parameter mapping self-optimization characteristic, and the connection reliability, the address generation speed and the configuration accuracy are improved.

A bot detection service is enhanced by providing improved threat scoring using dynamic clustering of telemetry data received from a server. The detection approach leverages the notion that bot traffic is statistically anomalous compared to empirical models of human traffic. In particular, bots have more similar and repeating network patterns (i.e., lists of field values derived from client telemetry) that lend themselves to tighter clustering than random human traffic. The technique herein leverages this notion by providing a bot detection service with a network pattern clustering algorithm that differentiates bot-versus-human traffic by searching for similar and repeating network patterns that cluster together by virtue of having lesser variation (as compared to human traffic) in their field value sets.

The invention provides a multi-carrier modulation-based common-inductance integrated waveform design method and system, and belongs to the technical field of multi-carrier communication. The method comprises the following steps: constructing a mapping relationship between different service types and waveform parameters; determining a waveform parameter of the subcarrier according to the current service type and the performance index requirement corresponding to the service type, and adjusting the waveform parameter; determining the total number of subcarriers according to the network mode and the service type; performing state detection on the communication channel by taking the total number of the subcarriers as the maximum number of the subcarriers so as to adjust waveform parameters of the subcarriers; and based on the adjusted waveform parameters of the subcarriers, synthesizing a flux-inductance integrated waveform. According to the invention, analysis of communication and sensing tasks can be carried out at the same time based on the same hardware, and dynamic adjustment of subcarrier related parameters and number is realized so as to meet the requirements of different application scenarios on transmission waveforms.

The embodiment of the invention provides a data transmission method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a network quality parameter of a data transmission unit module when the data transmission unit module is started; determining a network mode of the data transmission unit module according to the network quality parameter; acquiring a transmission parameter when the data transmission unit module performs data block transmission in the network mode; and adjusting the network mode based on the transmission parameter, and performing data transmission according to the adjusted network mode. According to the embodiment of the invention, the network mode can be adjusted in real time according to the current network quality parameter, so that data interruption in an unstable network signal state is avoided.

The invention discloses an optimized ventilation corridor construction method for urban heat exposure mitigation and related equipment, and can be applied to the technical field of geographic planning. According to the method, the dominant cooling cold source and the thermal exposure relieving cold source are identified according to the basic data of the target research area, the ventilation comprehensive resistance surface of the target research area is constructed according to the resistance factors in the basic data, and then the ventilation target corridor and the corridor optimization node of the target research area are identified by combining the two cold sources. A ventilation network structure of the target research area is corrected and adjusted according to the dominant cooling cold source, the thermal exposure relieving cold source, the ventilation target corridor and the corridor optimization node, so that an optimized ventilation corridor system of the target research area under the guidance of thermal exposure is formed, and therefore, the priority service of the high-heat exposure area is realized; and ventilation blocking positions and corridor optimization nodes can be determined, so that a ventilation network pattern capable of guiding staged cooling and micro-updating of a city can be formed, and the experience requirements of people can be met.

The invention discloses a network mode switching method and system. The method comprises the following steps: receiving a switching mode request of a user terminal, wherein the switching mode request is used for indicating that the network mode of a vehicle is switched from a first network mode to a second network mode; in response to the mode switching request, unloading a first drive file corresponding to the first network mode; based on the mode switching request, a second drive file of a network communication module corresponding to the second network mode is called from a preset dynamic link library, and the second drive file comprises a second network module parameter corresponding to a first network interface in the network communication module in the second network mode; and through the first network interface, the second drive file is configured to the network communication module so as to realize switching of network modes of the vehicle. According to the embodiment of the invention, parameter calling modes of a plurality of different wireless network modules can be simplified, so that flexible switching between a WiFi mode and a hotspot mode can be realized.

A user equipment, UE 110, comprising: means for sending to a network node 110 at a first time a first indicator 20_1 configured to map 50_1 a first UE state 10_1 to a first network traffic prediction 40_1 for the UE, and further means for sending to the network node at a second time a second indicator 20_2 configured to map 50_2 a second UE state 10_2 to a second network traffic prediction 40_2 for the UE. The UE may receive a configuration message from the network node that configures at the UE sending of the indicator, wherein the configuration message is either a radio resource control (RRC) message or a medium access control (MAC) message. The configuration message comprises information elements configured to configure: the indicator; an observation period associated with the indicator; the UE state; at least one trigger condition for sending the indicator; a likelihood of sending the indicator configured to map a UE state to a network traffic prediction for the UE; and / or, configure a plurality of indicators including a first indicator and a second indicator. The UE may be configured to enter a learning mode configured by the network mode to create a mapping that maps, directly or indirectly, from the indicator to the network traffic prediction for the UE. The UE may receive a configuration message that: at the UE configures a machine learning model (artificial neural network (ANN)) training and / or at the UE configures inference using a machine learning model at the network node.

The invention provides a network switching method, networking monitoring equipment, a networking monitoring system and a storage medium, and the network switching method comprises the steps: obtaining corresponding networking addresses of the networking monitoring equipment in a plurality of networking modes, wherein the plurality of networking modes comprise at least two of wireless local area network networking, mobile communication networking and wired local area network networking; according to the acquired networking address and a preset network priority rule, determining a first target networking mode of the networking monitoring equipment in a plurality of networking modes; and controlling the networking monitoring equipment to be switched to the first target networking mode, so that the networking monitoring equipment is connected to the network server based on the first target networking mode. According to the application, a redundancy design of a multi-network mode is adopted, and the first target networking mode meeting the requirement is selected by using the network priority rule, so that the network connection stability of the networking monitoring equipment is ensured.

This invention provides a method for providing CNI support for a Docker container engine, relating to the field of container runtime technology. The method includes configuring a custom runtime component docker-cni in the Docker container engine; specifying the custom runtime component docker-cni as the runtime when creating a container and setting it to a network-free mode (none); injecting a pre-start hook and a stop hook into the container's configuration file during the container creation phase; the hooks are used to trigger the custom runtime component docker-cni to perform CNI network operations; when the container starts and triggers the pre-start hook, calling the CNI plugin's add network operation according to the command injected in the pre-start hook to complete the container network configuration; when the container stops and triggers the stop hook, calling the CNI plugin's delete network operation according to the command injected in the stop hook to clean up the container network configuration.

The invention discloses a positioning method and system suitable for different network signals in a cross-border transportation scene, and belongs to the technical field of cross-border logistics transportation cargo positioning. The method comprises the following steps: receiving a signal during network switching, carrying out weight distribution on the signal during network switching, carrying out weighted calculation on the network signal with the weight through a weighted summation algorithm to serve as the input of a BP neural network, outputting the longitude and latitude of the network signal, and carrying out deviation calculation on the longitude and latitude of the network signal and the longitude and latitude of a pre-stored fixed landmark, and positioning adapting to different network modes in a cross-border transportation scene is obtained. According to the method, the signal characteristics of 2G, 3G, 4G and 5G networks are fused, a machine learning model is combined, and the positioning weight is dynamically adjusted according to the signal quality in the network switching process, so that the positioning process is not interrupted when the equipment is switched among different networks, reliable positioning is realized by integrating the advantages of multiple networks, powerful support is provided for informatization management of cross-border transportation, and the method is suitable for popularization and application. And the positioning accuracy is improved.

The present invention relates to a padel racket that is strung on its two striking surfaces instead of being solid. Thus, the resulting racket has the following elements: A) a handgrip or gripping handle covered by a grip adapted in size to the player, in order to control muscle tension and allow smooth wrist movement; B) the heart or throat of the racket provided with a bridge and reinforcement, which acts as a connecting link between the handgrip and the head and does not present any distinctive features in the present invention; and C) two striking surfaces or faces which in the present invention are strung, so that both faces are configured by a double string network system, each of the faces being a network pattern or grid parallel to the opposite face.

The application discloses an improved network management method based on AUTOSAR, wherein the network node state comprises a network mode and a sleep mode; the node receives and sends network management messages in the network mode; when the number of errors in sending or receiving network management messages exceeds a threshold value, or a network management message with a sleep flag is received, the node enters a fault detection state; the node stops communication work in the sleep mode; if the duration of no communication work exceeds a certain time, the node enters the sleep mode; if the expected stay time of the node in the sleep mode is less than a preset time, the node enters a light sleep mode; if the expected stay time of the node in the sleep mode is greater than the preset time or the duration of the node in the light sleep mode exceeds a certain time, the node enters a deep sleep mode. The application adds a fault detection stage, a light sleep mode and a deep sleep mode to the original network node state, and improves the accuracy and flexibility of network management.

The utility model relates to a novel PE (Poly Ethylene) reticulated protective film, which comprises a polyethylene film layer and an adhesive layer coated on one side of the polyethylene film layer, the adhesive layer is of a reticulated structure, the polyethylene film layer is provided with arrayed small holes, the aperture of the small holes is 0.1-0.3 mm, and the distance between adjacent small holes is smaller than the distance between corresponding sides of a single reticulated hole of the adhesive layer. As the arrayed small holes are formed in the polyethylene film layer, and the distance between the adjacent small holes is smaller than the distance between the corresponding edges of the single reticulate pattern hole of the adhesive layer, each mesh hole formed by the reticulate pattern is provided with the small holes, the protective film is attached to the surface of a part workpiece during production, and then the part workpiece is put into a negative pressure box, so that the surface of the part workpiece is protected; under the action of negative pressure, residual small bubbles attached to a protective surface can be pumped away, so that a film is tightly attached to the protective surface, the purpose of film pasting can be achieved without excessive mechanical actions in the film pasting process, protective film pasting of easily-damaged products is achieved, the film pasting quality is good, the workpiece effect is high, and parts are not prone to being damaged.

The invention relates to a wire network generation method and device, equipment and a medium, and the method comprises the steps: obtaining wiring related information, which comprises pin information and wire information; based on the pin information, a pin pattern is generated and a wiring area is determined, and the pin pattern comprises a plurality of pin units; a target wire mesh pattern is generated in the wiring area based on the wire information and the pin pattern. Through the network generation method, automatic generation of the target network pattern can be realized only by providing wiring related information, the target network pattern meets functional and reasonable requirements, the generation process is simplified, the generation cost and the error rate are reduced, manufacturing of high-quality products is facilitated, and the user experience is improved.

This invention provides a method for detecting illegitimate accounts on Ethereum based on a heterogeneous graph transformation network. First, a network model of an account-centric heterogeneous information network describing account activity information is defined. Then, a graph transformation network is used to automatically mine meta-paths and calculate multi-hop connections. The resulting relation matrix is ​​input into a convolutional neural network to obtain node embeddings, thereby detecting illegitimate accounts. This method can be used to describe the activity information of Ethereum accounts, including account transactions, balances, block information, etc. The invention proposes using a graph transformation network to learn meta-paths to obtain a relation matrix, which is then used as input to a convolutional network, transforming the illegitimate account detection task into a node embedding classification task based on a graph neural network. Experimental results show that the proposed model achieves a node classification accuracy of up to 95%, outperforming other account detection schemes, with a single detection time of approximately one minute, demonstrating both high efficiency and accuracy.

The present invention discloses a network management method for an embedded device. The embedded device is provided with a physical button for initiating a network switching instruction; a first thread is provided for processing client registration and management; the client includes the physical button and an app installed in the device; a second thread is provided for responding to network management requests sent by the client; a global variable is provided for recording the current target network mode and the current network status; a network processing loop is started in the main program of the device for processing faults during the network management process based on the global variables. The present invention can assist users and built-in apps in performing effective network management even when the device does not have a touch screen display, and automatically processes status information, errors, etc. during the network management process, providing a convenient, effective, low-cost, and highly reliable network management solution for such devices.

The invention discloses a containerized multi-instance management method and related equipment, and relates to the technical field of computer virtualization, and the method comprises the following steps: obtaining hardware architecture information of a host system and configuration parameters of a containerized engine; based on the hardware architecture information and the configuration parameters, deploying a containerized engine to support operation of a plurality of Android instances on a single chip, each Android instance being configured with an independent data storage directory and an attribute file, the attribute file being used for covering Android system attributes; based on a preset network mode type, a network resource allocation strategy of each Android instance is determined, and the network mode type comprises a shared network mode or an independent network mode; and in response to the instance management instruction, carrying out life cycle operation on the Android instance so as to realize resource isolation and independent operation of multiple instances.

Display device, characterized by: a substrate (SUB) including a pixel area (PXA) and a peripheral area (PPA); a plurality of pixels (PXL) arranged in the pixel area (PXA) of the substrate (SUB), each of the plurality of pixels (PXL) including a light-emitting element; Data lines and scan lines electrically connected to each of the plurality of pixels (PXL); and a power line arrangement (PL) configured to supply power to the plurality of pixels (PXL), the power line arrangement being characterized by a second conductive layer (PL2), wherein the second conductive layer (PL2) of the power line arrangement is characterized by: a plurality of first conductive lines (CL1); and a plurality of second conductive lines (CL2) intersecting the plurality of first conductive lines (CL1), wherein the plurality of second conductive lines (CL2) are each arranged in a region between adjacent light-emitting elements of the plurality of pixels (PXL) without overlapping anodes of the light-emitting elements, and wherein at least some portions of the plurality of second conductive lines extend in a direction oblique to an extending direction of the data lines or the scanning lines; wherein the first conductive lines (CL1) and the second conductive lines (CL2) are electrically connected to each other, wherein the second conductive layer (PL2) has a network pattern and characterized in that the plurality of first conductive lines (CL1) extend in a direction parallel to the extension direction of the data lines; or the plurality of first conductive lines (CL1) and the plurality of second conductive lines (CL2) extend in a direction oblique to an extension direction of the data lines or an extension direction of the scanning lines.

The invention discloses a rapid networking method and device based on radio frequency communication and electronic equipment, which are applied to a network node with a network access function. The method comprises the following steps: receiving basic information of a plurality of first child nodes in a radio frequency mode, and sending the basic information to user equipment; respectively sending the first network distribution information to a plurality of target sub-nodes based on the indication of the user equipment, wherein the target sub-nodes are selected by the user; based on the indication of the user equipment, indicating the plurality of target child nodes to exit the radio frequency mode and enter the first network mode based on second network distribution information, the second network distribution information at least comprising the first network distribution information; when the plurality of target sub-nodes enter the first network mode, exiting the radio frequency mode and entering the first network mode based on the second network distribution information; and in the first network mode, performing networking process interaction of the first network with the plurality of target child nodes entering the first network mode. In this way, the network node can quickly identify the child node.

The present application provides a data transmission method, apparatus, and device, which relates to data processing technology. The method includes: obtaining multiple copies of data to be transmitted; determining the network usage frequency corresponding to the data to be transmitted based on the type of the data to be transmitted, and establishing a data transmission channel through a preset quality of service method based on the network usage frequency corresponding to the data to be transmitted; configuring the data transmission channel according to the preset network slicing technology to obtain a first parameter about the wireless network sub-slice, a second parameter about the bearer network sub-slice, and a third parameter about the core network sub-slice; determining the data transmission channel, the first parameter of the wireless network sub-slice, the second parameter of the bearer network sub-slice, and the third parameter of the core network sub-slice as the network mode corresponding to the data to be transmitted; and transmitting the data to be transmitted based on the network usage frequency of the network mode corresponding to the data to be transmitted. The method of the present application solves the technical problem of low data transmission efficiency.

The present disclosure sets forth systems, apparatuses, and methods that autonomously adapt networks to acquire additional capabilities and / or optimize current capabilities. An example system comprises processors and memory that stores instructions to be executed to monitor first performance metrics of a first network, determine, based on the monitored first performance metrics, network patterns indicative of network inefficiencies or inabilities, determine, based on the determined network patterns, a network mutation, create, based on the first network and the network mutation, a second network, compare the first performance metrics of the first network to second performance metrics of the second network, and based on determining that the second performance metrics are an improvement over the first performance metrics by a threshold amount, apply the network mutation to the first network.

The invention relates to the field of urban planning and management, in particular to a multi-target composite ecological network construction and local synergy method, device and equipment, and innovatively provides a composite ecological network integrating double targets of an urban cold island effect and habitat quality. On the basis of a hierarchical optimization method of'macroscopic network pattern constraint-machine learning interpretation-spatial threshold regulation ', capturing a complex nonlinear relationship between a landscape index and a dual ecological target by utilizing a high-dimensional nonlinear fitting capability of a machine learning model in a heterogeneity composite ecological network; and the SHAP model is introduced to identify a synergistic dominant driving factor and a quantization threshold thereof in the composite ecological network, so that an abstract model prediction result is inverted into a planning control index with clear physical significance, a targeted local synergistic optimization strategy is generated, and the ecological restoration efficiency and the refined control effect are greatly improved.

Techniques for a container orchestration system are disclosed. A system executes a virtual agent in a cloud network on a virtual node of a container orchestration system. The virtual node hosts multiple container instances within the cloud environment. The system executes a first container instance within the virtual node and connects the first container instance to a first subnet. The system executes a second container instance within the same virtual node and connects the second container instance to a second subnet distinct from the first subnet. The system enables access to the first container instance through the first subnet and enables access to the second container instance via the second subnet. This architecture allows for flexible network configurations within a single virtual node, enhancing resource utilization and network segmentation capabilities in containerized environments.

The present invention discloses a method for classifying nodes of a heterogeneous graph neural network based on a dual-view paradigm of network patterns and meta-paths, comprising the following steps: constructing graph sequence data of a heterogeneous graph social network; constructing a node classification model of a heterogeneous graph neural network based on a dual-view paradigm of network patterns and meta-paths; inputting the heterogeneous graph data into the network pattern view to capture the structural features of the heterogeneous graph; inputting the heterogeneous graph data into the meta-path view simultaneously to capture semantic features at different levels; effectively fitting the feature representations of the two views through a designed automatic dual-view fusion mechanism, strengthening the feature expressions of each view; the method described in the present invention uses a heterogeneous graph neural network method based on a dual-view paradigm, which can extract graph structure information and semantic information simultaneously, make full use of the mutual relationships between nodes and the rich information in the structure, and comprehensively consider diverse semantic information, and perform node classification more effectively, having high usability.

This application provides a method, apparatus, server, medium, and product for processing network attack data. The method includes: acquiring all nodes in a target network attack path; acquiring a network heterogeneous graph of a preset order for each node based on historical domain name system data, network traffic data, and a predefined heterogeneous graph network pattern; merging the network heterogeneous graphs of the preset order for all nodes according to the target network attack path to obtain a heterogeneous graph of the target network attack path; acquiring the embedding vector of each node in the heterogeneous graph to obtain a heterogeneous graph with node embedding vectors; obtaining a vector of the heterogeneous graph based on the heterogeneous graph with node embedding vectors; classifying the heterogeneous graph based on the vector of the heterogeneous graph to obtain a heterogeneous graph type; the heterogeneous graph type is used for homogeneity analysis of network attacks. The method of this application improves the accuracy of homogeneity analysis of network attacks.

The present invention relates to the technical field of communication networks, and particularly relates to a system and method for constructing a dual-mode communication network, including: a control terminal, which is the main control end of the system and is used to issue control commands; an analysis module, which is used to analyze the number of user-end electronic devices that are online in real time in the communication network within the service area of the system; an identification module, which is used to capture the user-end electronic devices that are online in real time in the communication network and identify their current applied network mode; the present invention can capture the users who are online in the communication network in real time, and further analyze the network mode currently used by them, so as to calculate the current network mode application ratio in the communication network with the help of the analysis results. Finally, taking the calculation result of the network mode application ratio as a reference, the users who are online and the newly online users in the current network are managed, so that the dual-mode communication network deployed by this system is more stable and the applied network modes are more balanced.

The invention discloses a power network design method and device for a redistribution layer, electronic equipment and a medium, and the method comprises the steps: obtaining a first potential via hole setting position of the redistribution layer according to an arrangement pattern of a plurality of first power lines of a target metal layer; obtaining a first power supply network pattern of the redistribution layer according to the position of the contact in the redistribution layer and the setting position of the first potential via hole, the first power supply network pattern being overlapped with the setting position of the first potential via hole as much as possible; and according to the overlapping position of the first power supply network pattern and the first potential via hole setting positions, and according to a network design rule of the redistribution layer, removing positions which do not meet requirements in the first potential via hole setting positions, and obtaining first target via hole setting positions, corresponding to the plurality of first power lines, of the redistribution layer. The method can adaptively obtain the redistribution layer for the top power supply network.

One example method includes receiving a set of requirements for aspects of a network, identifying a gap between one of the aspects of the network and a zero trust (ZT) requirement, determining a solution set comprising potential solutions for reducing or eliminating the gap, associating a respective cost with each of the solutions, determining an extent to which the solutions of the solution set comply with requirements, recommending a best solution from the solutions of the solution set, determining a priority of the gap relative to respective priorities of other gaps, and outputting a list of the gaps, sorted by priority, and the recommended best solution.

The application provides a test method of a low-power wide-area network, which is applied to a test terminal and comprises the following steps: selecting a test request and a test target, wherein the test target comprises a network mode selection instruction of a low-power wide-area network to be tested or the test target comprises a selection instruction of an MQTT test scene; the network mode selection instruction comprises any one of a network mode of an unlicensed frequency spectrum, a network mode of a licensed frequency spectrum and a hybrid network mode; according to the network mode selection instruction, data of Internet of Things nodes in different network modes are collected and transmitted according to test paths of the respective network modes; the service quality of the transmitted data is tested according to the test paths; when a user selects a test target comprising a selection instruction of an MQTT test scene, test data sets are generated according to the MQTT test scene selected by the user, and the test data sets are input into an intrusion detection system built in an MQTT agent to test the intrusion detection system.