302 results about "Networked system" patented technology

There is provided a method for merging data frames performed by a data frame merge device for a vehicle network system. The method comprises receiving a plurality of control data frames from a lower level of the vehicle network system; and merging the plurality of control data frames for a preset standby time in a traffic section in which the plurality of the control data frames are not transmitted to a higher level of the vehicle network system.

The application discloses a software defined network system, which comprises a BGP proxy component, an SDN controller, a plurality of gateway devices not supporting a BGP protocol and computer nodes; the BGP proxy component is used for establishing a BGP session with the SDN controller and announcing routing information of the plurality of gateway devices to the SDN controller through the BGP session; the SDN controller is used for generating node-side data plane configuration information based on the received routing information and delivering the node-side data plane configuration information to the computer nodes; and the computer nodes are used for configuring a forwarding table and / or tunnel encapsulation parameters of a virtual switch on the nodes according to the received node-side data plane configuration information. The application reduces the complexity of networking.

The in-vehicle network system includes a first device, a second device, and a third device as electronic control units having a network management function. The first device transmits the periodic message. The second device performs a failure determination to determine that the first device has failed when the reception of the periodic message from the first device is interrupted. The third device has a partial network function. The first device transmits the standby notification to the second device when the first device shifts from the operation state to the standby state due to the fact that the operation notification is no longer received. When receiving the standby notification from the first device, the second device stops the failure determination for the first device.

This invention discloses an ultra-high frequency partial discharge and temperature monitoring system for use in power distribution network systems, belonging to the field of smart grid facility condition monitoring technology. The system includes: a signal acquisition module for acquiring mixed signals via a main ultra-high frequency channel and interference reference signals via a mirror channel; an inversion compensation module for establishing interference propagation relationships and progressively reducing interference to obtain candidate pulses; a thermal response construction module for constructing a partial discharge thermal excitation coding sequence and generating an event-triggered thermal response matrix; a thermal memory extraction module for constructing an exponentially decaying thermal memory kernel and extracting thermal memory spectral features; a mapping solution module for inverting heat source parameters and thermal resistance distribution based on a reversible Fourier neural operator model; and an assessment and early warning module for generating the spatial distribution of heat sources, analyzing the defect evolution sequence, and outputting condition assessment and early warning information. This invention combines mirror interference compensation and a reversible Fourier neural operator model to achieve internal defect location and early warning in power distribution facilities.

During disasters, widespread power outages can occur, leading to delays and shortages in electricity supply. Furthermore, conventional power supply methods rely on fixed infrastructure, making it difficult to flexibly respond to fluctuations in electricity demand. [Solution] The present invention provides a power supply system that deploys or guides mobile distributed power sources to power demand locations based on power demand information relating to power demand locations. The system comprises distributed power sources, a control device, a communication network, and power demand points. The control device determines the placement or guidance of the distributed power sources based on the location information and power output of the distributed power sources and the power output required by the power demand points.

The application provides an industrial 5G network rate test method and device, electronic equipment and storage medium, and relates to the technical field of mobile communication. The method deploys two kinds of industrial 5G network systems based on indoor base stations and outdoor base stations respectively, establishes a network connection between a first communication device and a second communication device under the industrial 5G network system, and performs network rate test of the industrial 5G network. Before performing the network rate test, the performance parameters of the first communication device are obtained to screen each first communication device in the access network coverage range, so as to screen out a target first communication device with better performance for network rate test, so that the reliability of the obtained network test result is higher and more persuasive. And based on the real-time performance of the first communication device, the target first communication device screened out can maintain the best at the current time, so as to ensure the accuracy of the network rate test result at each moment.

Techniques for mitigating network failures (e.g., SLA violations, service degradations, network outages, etc.) based on output(s) from a predictive network system. The techniques may include determining that a failure is predicted to occur in a network and determining a correlation between the failure and a previous failure that occurred in the network. In examples, the correlation may be determined using a machine-learned model. The techniques may also include determining, based at least in part on the correlation, a condition contributing to the failure. In this way, prior to occurrence of the failure, a parameter associated with the network may be altered based at least in part on the condition to mitigate or otherwise prevent the failure.

The invention discloses a dual-connection configuration method and device, equipment, a medium and a product. The method comprises the following steps: acquiring network energy consumption information and / or network system performance information and / or terminal performance information; and determining the configuration of the dual connectivity according to the acquired information. The scheme of the application can realize flexible adjustment of the dual-connection decision, reduce the energy consumption of the UE or the network, and improve the performance of the terminal and the network.

This application provides a neural network system and a neural network calculation method, relating to the field of electronic technology, which can save chip area and power consumption. The neural network system includes a first memristor array, multiple current-to-voltage converters, and multiple resistive random access memories (RRAMs). The first memristor array includes multiple rows and columns of memristors for receiving first input data and performing multiplication and addition operations on the first input data according to configured first weights to obtain current. Each current-to-voltage converter is connected to the output terminal of at least one column of memristors in the first memristor array, for receiving the current of the corresponding column of memristors and converting the received current into voltage. Each RRAM is connected to at least one current-to-voltage converter, for receiving the voltage of the corresponding current-to-voltage converter, and obtaining one of the calculation results from the first calculation results based on the received voltage and the initial resistance state of the corresponding RRAM. The initial resistance state of each RRAM is a high resistance state.

A wireless network, systems and methods, wherein each passenger-carrying rideable vehicle deployed in the system includes: a modular construction consisting of a lightweight body driven by an electric-battery driven motor, and specially adapted for receiving a customizable ornamental body having the appearance and personality of a particular or an inanimate object; motorized and / or animated elements disposed beneath the animal character skin covering for enabling animal behaviors and / or expressions that promote a fun and entertaining ride experience; an audio-transducers mounted within the animal character body for playing music from smartphone applications and animated animal character body portions to provide a sense of realism and excitement as the electric entertainment vehicle is ridden through an amusement facility.

The present disclosure sets forth systems, apparatuses, and methods for dynamically generating and maintaining distributed neural networks with one or more edge systems. An example system comprises a first neural network having a first set of capabilities, an edge system in network communication with the first neural network, and a second neural network configured to determine a second set of capabilities of the edge system, generate, based on the first set of capabilities of the first neural network, based on the second set of capabilities of the edge system, and based on a schema, a third neural network that is a simplified version of the first neural network, and deploy the third neural network onto the edge system.

The utility model belongs to but is not limited to the agricultural machinery technical field, especially relates to a kind of liftable device for flue-cured tobacco dry-wet alternate seedling, mainly by seedling facility unit module, lifting device module and track network system constitute.The seedling facility unit module adopts aluminium alloy perforated backing plate with quick detachable locking mechanism and integrated tooth group locking and double "X" type support of chrome plated light axle direction, and synchronous lifting (precision ±0.5mm) is realized by Φ40mm rigid synchronous shaft linkage.The lifting device module is driven worm wheel elevator by servo motor, and power is transmitted through cross torque distributor and four-bar linkage mechanism.The track network system integrates hydraulic support leg (synchronous precision ±0.2mm) and interference fit track, supports AGV automatic movement operation.The device monitors substrate water and fertilizer state by EC sensor, automatically controls seedling tray and nutrient solution contact-disengagement cycle, realizes accurate dry-wet alternate seedling, effectively improves seedling efficiency and automation level.

This application provides a satellite ephemeris configuration method, a service support system, a satellite network system, a terminal device, a storage medium, a chip system, and a program product, relating to the field of communication technology. This application writes satellite ephemeris data into a user identification card (BIC), allowing the terminal device to obtain ephemeris data from the BIC. This avoids the convenience, reliability, and security issues associated with manual operation, while also lowering the requirements for the terminal device's deployment environment. It also addresses the problem of ephemeris data becoming invalid due to prolonged inactivity of the terminal device, eliminating the need for the terminal to be returned to the factory or undergo after-sales firmware updates. Furthermore, when a user replaces their terminal device, the new device can still obtain ephemeris data from the BIC and directly search and track the constellation for which the user has registered. This application effectively lowers the barrier to obtaining valid ephemeris data upon terminal device activation, assisting terminal devices in quickly acquiring valid satellite ephemeris data, enabling satellite search and tracking, and improving the user's network access experience.

The present application relates to a kind of serpentine coiling bionic control system and method and system, belong to industrial automation control technical field, system includes controller, network communication transmission unit, executing mechanism, feedback element and man-machine interaction module;The controller is built-in serpentine coiling algorithm curve calculation module, for receiving feedback data, executing trajectory planning calculation and outputting control instruction;The network transmission unit uses redundant network system, realizes the transmission communication of data;The executing mechanism includes servo motor and variable frequency motor, servo motor and variable frequency motor are closed loop cooperation by controller to realize the rotation speed-axial displacement;The feedback element is in real time by multiple sensors Feedback working condition parameter;The man-machine interaction module: for parameter setting, working condition monitoring and fault alarm.The present application realizes efficient, uniform, non-interference, low stress coiling operation by serpentine coiling bionics.

A networked system generates virtual identifiers for network entities to identify interactions of these entities with other entities in the network. These virtual identifiers are generated upon detecting trigger events. Upon the detection of an event that triggers the generation of a virtual identifier, the networked system seeks a virtual identifier from an account management system. This virtual identifier serves as a unique identifier associated with the user but that represents an account that the user is authorized to use. The system associates the virtual identifier with aspects of the triggering event, such as the user linked with the trigger event or the event itself. Consequently, when the system detects an interaction bearing the virtual identifier, the system can associate the interaction with the user who initiated the interaction.

A service scheduling method and apparatus are provided, which relate to the field of communication technologies and are applied to a Wi-Fi network system, to resolve a problem that communication delays of a large amount of service data cannot be ensured when a communication channel in the Wi-Fi network system is limited. An example solution includes: a sending node obtains a waiting delay and a category of each data frame in a plurality of data frames at a current moment, determines a service priority of each data frame based on the category of each data frame, and determines, from the plurality of data frames, a target frame that is preferentially sent at the current moment based on the waiting delay, a preset delay, and the service priority of each data frame; and then the sending node sends the target frame to a receiving node at the current moment.

A method for curating object recognition data in a lightweight network system includes labeling each of a plurality of image data collected from the system, collecting labeling information, collecting the feature data with respect to each of the plurality of image data based on the labeling information, and curating some image data among the plurality of image data based on the collected feature data, where the collecting the feature data with respect to each of the plurality of image data based on the labeling information may include marking and cropping at least one object portion in each of the plurality of image data by a bounding box based on the labeling information, extracting local feature data including local feature information with respect to the object portion from the cropped image data, dimensionally reducing the extracted local feature data, and collecting the dimensionally reduced local feature data as the feature data.

The present disclosure provides a system fault positioning method, system and electronic device. The system fault positioning method comprises: obtaining preset original information of a target network system, wherein the preset original information at least comprises topology data, network element data, alarm data, device performance data and log data of the target network system; converting and arranging the alarm data according to a first mapping data table to form an alarm information set, and determining a candidate root cause alarm device corresponding to alarm information in the alarm information set according to a second mapping data table; determining an alarm root cause, a root cause alarm device and a solution measure according to the alarm information set, the candidate root cause alarm device and the preset original information; forming a control signal for the root cause alarm device according to the solution measure, and sending the control signal to the root cause alarm device, or outputting the solution measure. The embodiment of the present disclosure can automatically position and adjust the system fault, and improve the operation and maintenance efficiency and reliability.

This disclosure relates to a transmission method via an airborne switched network. A method for transmitting data via a switched network (200) in an airborne communication network system includes the following steps performed at a transmitting device (101a): generating a container data stream (RSSj) by a generator and transmitting the container data stream (RSSj) via the switched network (200), and when a new data stream is required from the transmitting device (101a) to the receiving device (101b), replacing at least a portion of the container data stream (RSSj) with the new data stream by an injector.

This application relates to a method for designing a long-term stable association strategy for a digital twin edge network. The method includes: constructing a long-term association strategy model and a communication and computing model for the digital twin edge network; constructing decision variables and introducing these variables into the long-term association strategy model and the communication and computing model to construct a problem minimizing system latency; decoupling and optimizing the problem minimizing system latency to obtain the decoupled optimized problem; and solving the decoupled optimized problem to achieve long-term stable association of the digital twin edge network. This invention considers the long-term cumulative benefits of the network system, systematically considers state evolution and resource allocation across time periods, and optimizes overall performance from a global perspective. Compared to short-term association strategies, long-term stable association strategies can better balance immediate benefits and future costs, reduce the long-term average latency and average energy consumption of the system, and are particularly suitable for network system optimization in dynamic and uncertain environments.

An in-vehicle network system (100) includes a first control device (40, 50, 60) and a second control device (20, 30) that is hierarchically higher than the first control device. The first and second control devices are connected via a communication bus (38, 44, 54, 64). The first control device is configured to perform a predetermined processing operation using electrical current supplied by a relay circuit (26, 28, 36) located on a power supply line (6) to the first control device, and to transmit periodic messages during the predetermined processing operation.The second control device includes a relay control unit (24, 34) configured to switch the relay circuit (26, 28, 36) on or off based on vehicle state information and to keep the relay circuit switched on while the first control device transmits the periodic messages.

The application discloses a kind of unmanned vehicle logistics directional relay network system and its coordination method, belong to intelligent logistics and unmanned vehicle application technical field, the system includes: multiple cellular airspace units, cellular airspace unit is constituted continuous grid in service area;Deployed in the center of each cellular airspace unit one micro hub, as the ground logistics node of corresponding unit;Wherein, each micro hub includes one terminal nest and at least two relay nests;Terminal nest is used to provide the storage and withdrawal interface of user goods;Each relay nest is arranged around terminal nest, and each relay nest is pre-allocated and fixedly responsible for the bidirectional goods transfer task between the unit where the micro hub is located and a particular adjacent unit;Terminal nest and each relay nest are connected by internal logistics transmission device 103.The application fundamentally simplifies scheduling and management complexity by deep coordination of cellular airspace grid, heterogeneous node division of labor, directional routing rules and high automation.

An information processing method is an information processing method executed by an information processing device in a control network system that includes: a plurality of electronic control units each capable of executing a service that includes execution of predetermined processing and capable of mutual access regarding services; and a plurality of edge access permission devices each determining whether to permit or deny the access based on a predetermined access policy. The information processing method includes: obtaining, from the plurality of edge access permission devices, policy verification results, each including a determination result indicating whether the access is permitted or denied; and outputting verification information related to a master policy verification result that includes a final determination result indicating whether the access is permitted or denied, based on the policy verification results from the plurality of edge access permission devices.

This invention discloses a space-based computing power network system, belonging to the field of integrated space-ground information network technology. The system includes space-based nodes deploying edge computing power resource pools, ground stations, and a ground-based cloud computing center. The ground station is equipped with a space-based computing power orchestration and management platform, including a computing power orchestration module and a network control module. The platform collects real-time information on the network's computing power, network, storage, and algorithm resources, forming a unified resource view. When a user station initiates a service computing power request including computing power scale, algorithm type, and network QoS requirements, the platform generates a computing power allocation strategy through the computing power orchestration module and a space-based network path through the network control module, supporting step-by-step or joint optimization to achieve resource collaborative scheduling and optimal configuration. Finally, the strategy and path are distributed to each node, and the system responds to the user station. This invention supports real-time on-orbit processing of services, reduces space-to-ground transmission latency and bandwidth requirements, and enhances the intelligence and autonomous operation capabilities of the space-based network.

The present specification relates to a blockchain network system, and an operation method of a node accessing a blockchain network comprises: selecting a participant node, a congress node, a committee node, and a chair node on the basis of a random contention-free consensus to configure the role of each node; receiving, by the chair node, a delegation request from the congress node and using a transaction satisfying a consensus condition to instruct the committee node to perform block generation; approving, by the committee node, the block generation by communicating with the chair node; and disseminating, to the blockchain network, a new block generated as a result of the approval.

The application discloses a finite time synchronization and quantization control method of a memristor neural network, and comprises the following steps: step 1, constructing a memristor neural network system model; step 2, constructing a controller for the memristor neural network system model in step 1; step 3, constructing definitions and lemmas required for time synchronization and quantization control of the memristor neural network; and step 4, combining steps 1 to 3 to perform time synchronization and quantization control on the memristor neural network. The application proposes a new control theory and analysis method for finite time synchronization and quantization control of the memristor neural network based on theories such as comprehensive differential equations, neural networks, quantization control and finite time stability, and provides a new idea and approach for synchronization and control research of the memristor neural network.

Data processing system for the automated processing and analysis of large data sets in scalable network systems, comprehensive a plurality of processing units distributed from one another, a data acquisition unit for the continuous recording and pre-structuring of incoming data, a control unit for assigning data processing tasks to the processing units, as well as a storage unit for storing raw data and processing results, characterized by the fact that A hardware-implemented preprocessing unit is provided which segments and classifies incoming data structures based on defined structure and integrity parameters and only releases data for analysis that meets predefined processing conditions, whereby the processing units execute parallel analysis processes and the results are merged in a consistent state space.