44 results about "Synchronous network" patented technology

A self-organizing mesh network system is disclosed, comprising: at least one master node generating a timing reference signal; a plurality of regular nodes deriving time synchronization from the timing reference signal; and a wireless medium for communicating location and timestamp information among the plurality of regular nodes, The plurality of regular nodes may be configured to each use communicated location and timestamp information of nearby nodes to independently generate a location map of the nearby nodes. The plurality of regular nodes may be configured to accept an additional regular node. The plurality of regular nodes may be configured to allow a node of the plurality of regular nodes to exit the plurality of regular nodes. The plurality of regular nodes may each use communicated location and timestamp information of the plurality of regular nodes to independently generate a location map of each of the plurality of regular nodes.

The application relates to the technical field of wireless Mesh networks, and discloses a synchronization method for a wireless Mesh network, wherein the Mesh network comprises a plurality of Mesh network nodes connected to each other, the synchronization method comprises the following steps: obtaining external relative execution time in a Mesh control message received by a Mesh network node; obtaining internal relative execution time saved by the Mesh network node; and correcting the internal relative execution time in the case that the external relative execution time is less than the internal relative execution time. The synchronization operation of the Mesh network node is realized by using the relative time mode, the Mesh network node is clocked by using an internal crystal oscillator, the device of the Mesh network node does not need to quickly re-synchronize the network clock after being powered off and then powered on, and the accuracy of the synchronization operation of the device of the Mesh network node in the Mesh network can be improved. The application further discloses a synchronization device for a wireless Mesh network and an electronic equipment.

The invention relates to a global vector CSN transaction snapshot generation device and method of a shared storage multi-Master cluster database system. The device comprises a multi-Master CSN generation module which is used for generating a multi-Master cluster mode CSN serial number with a node identifier when a transaction is submitted and binding a transaction number to a CSN LOG; the CSN BOC sending module asynchronously broadcasts the packaged transaction number and CSN serial number message packet to other nodes of the cluster; the CSN BOC receiving module is used for receiving the message packet, recording the message packet to a local CSN LOG and maintaining a global CSN vector (storing the latest CSN of each node according to the node number); and the vector CSN snapshot generation module generates a snapshot by copying a global CSN vector and updating the CSN of the node, and is used for data line snapshot isolation visibility check. According to the method, the limitation of a traditional CSN single node is broken through, the problem of unified description of a multi-Master cluster cross-node transaction sequence is solved, synchronous network IO loss is avoided through asynchronous message and memory operation, and cluster transaction visibility check efficiency and service concurrency performance are remarkably improved.

Various embodiments are provided for dynamically reconfiguring radio access network (RAN) functionality between edge and cloud computing environments. A RAN-enabled edge server deployed at an edge location is configured to perform a set of distributed unit (DU) functions for a radio-based network, while a server hosted at a regional data center of a cloud provider network is configured to perform a set of core network functions for the radio-based network. The system monitors availability of the core network functions at the edge location and determines that the set of core network functions provided by the server at the regional data center is unavailable. In response to determining that the core network functions are unavailable, the RAN-enabled edge server is dynamically reconfigured to perform the set of core network functions.

The invention discloses an SNN learning accelerator for ECG monitoring, which comprises a register configuration module, an asynchronous global control module, an asynchronous neural network control module, an asynchronous binary classification CNN module, an asynchronous quadruple classification SNN module, an asynchronous weight updating module and a memory management module, and is characterized in that firstly, a circuit corresponding to the accelerator constructs a double-layer dynamic network; layered dynamic power consumption management: selectively activating a high-precision secondary anomaly detection four-classification SNN network through a primary anomaly detection two-classification CNN network; secondly, the accelerator supports on-chip reasoning and efficient learning, and effectively eliminates ECG feature differences of different individuals on the premise of ensuring privacy security of user data; and finally, the circuit is controlled by using a pulse neural network and an asynchronous logic circuit, so that compared with a synchronous network, the power consumption is greatly reduced.

The invention discloses a synchronous network model asynchronization implementation method and device and a distributed system, and the method comprises the steps: initiating a service request through a sending thread pool, and recording task context information associated with the request after the request is sent; receiving a request result returned by the three-party server by using a receiving thread pool, performing reverse search in the task context information based on at least part of information carried in the request result, and matching a corresponding to-be-processed task; after successful matching, triggering an asynchronous callback function pre-registered by the user to complete service processing logic; based on a preset timing index structure, the overtime task is cleared, and the timing index structure at least comprises multiple pieces of task information sorted according to the task deadline. According to the invention, on the premise of not depending on underlying network control, asynchronous packaging of the synchronous interface is realized, and the throughput and response timeliness of the system are remarkably improved.

A self-organizing mesh network system is disclosed, comprising: at least one master node generating a timing reference signal; a plurality of regular nodes deriving time synchronization from the timing reference signal; and a wireless medium for communicating location and timestamp information among the plurality of regular nodes, The plurality of regular nodes may be configured to each use communicated location and timestamp information of nearby nodes to independently generate a location map of the nearby nodes. The plurality of regular nodes may be configured to accept an additional regular node. The plurality of regular nodes may be configured to allow a node of the plurality of regular nodes to exit the plurality of regular nodes. The plurality of regular nodes may each use communicated location and timestamp information of the plurality of regular nodes to independently generate a location map of each of the plurality of regular nodes.

The application discloses a time delay dynamic compensation method, device, equipment, medium and system, and when the method is applied to a synchronous network transmission device, comprises the following steps: sending a first time synchronization signal to a synchronous network probe device; receiving a first time synchronization signal deviation returned by the synchronous network probe device; the first time synchronization signal deviation is obtained by measuring and deviation analyzing the first time synchronization signal by the synchronous network probe device, and the first time synchronization signal deviation is a difference value between a first theoretical time and a first actual time; sending a second time synchronization signal to the synchronous network transmission device; the second time synchronization signal is obtained by compensating the first time synchronization signal according to the first time synchronization signal deviation and a reinforcement learning model. The time delay dynamic compensation method is realized based on the reinforcement learning model, can detect a time delay asymmetry value in real time and automatically compensate.

A lighting control system (1) comprises at least one input device (2) configured to provide user-derived, status and / or environmental information to the lighting-control system responsive to a query command (10a) and / or at least one control gear (3) configured to provide power to one or more light sources and to provide status information to the lighting-control system responsive to a query command (10a). Further, it comprises an application controller (4) configured to receive the user-derived and / or environmental information or the status information, and configured to issue a query command (10a) in order to obtain the information or depending on the information obtained. There is further provided a reverse bridge (5), which is configured to communicate with the application controller (2) via a wired network bus (6) operated using a synchronous network protocol, which may conform with IEC 62386-101. The reverse bridge (5) is further configured to communicate with the at least one input device (2) and / or the control gear (3) via a network (7) operated using an asynchronous network protocol, which may conform with IEC 62386-104. The reverse bridge (5) is configured to enable bidirectional communication between the application controller (4) and the at least one input device (2) and / or the control gear (3).

The invention discloses a batch high-threshold active secret sharing method and device, and the method comprises the steps: building a high-threshold active secret sharing basis through a high-threshold module, adding a blind value for a distributor through the high-threshold module, and enabling the blind value to be shared with a secret s; realizing secret sharing of a reconstruction threshold between t + 1 and n-t in combination with a high-threshold asynchronous complete secret sharing protocol and a multi-valued verification Byzantine negotiation protocol; based on a high-threshold module, a dual-committee asynchronous complete secret sharing protocol and a randomness extraction technology based on an ultra-reversible matrix are adopted to reduce the protocol complexity and realize batch secret transfer through a batch sales sharing module; a batch high-threshold active secret sharing protocol Bat-DPSS constructed by using a high-threshold module and a batch sharing module adapts to an asynchronous or partially synchronous network environment without depending on a public key infrastructure PKI, and can support dynamic replacement of committee members and resist attacks of mobile opponents. According to the method, the network cost is low after distribution, and the efficiency is improved compared with that of an asynchronous DPSS protocol.

The application discloses a kind of based on the cable fault early warning method and system of distribution network of multi-terminal synchronous traveling wave detection, and it is related to cable fault detection technical field.The present application comprises the following steps: at least three synchronous detection ends are deployed in each branch point of cable, and sampling rate is synchronously triggered;Establish master-slave type synchronous network, and carry out spectrum correction to the data collected;Based on distributed temperature sensor data, construct real-time correction model;Extract early fault feature, and construct three-dimensional feature tensor;Edge node preliminary diagnosis is carried out, and network is optimized using transfer learning to carry out feature classification;Combined with cable load rate and environmental temperature and humidity, establish early warning threshold adaptive model based on fuzzy PID.The present application is through multi-terminal collaborative perception and intelligent analysis, and the scheme changes fault processing mode from "passive repair" to "active defense", improves distribution network cable artificial inspection efficiency, and early detects early fault hidden danger.

The application provides a high-voltage synchronous networking control power supply system, which comprises a host power supply and at least one slave power supply. The host power supply comprises a host first connecting end, a host second connecting end and a host signal transmission end. The slave power supply comprises a slave first connecting end, a slave second connecting end and a slave signal transmission end. The slave signal transmission end is electrically connected to the host signal transmission end. The host power supply and the slave power supply can prevent the element from burning out and the host from exploding in the case that at least one port of the host first connecting end, the host second connecting end, the host signal transmission end, the slave first connecting end, the slave first connecting end and the slave signal transmission end is miswired, thereby preventing the host from exploding caused by the miswiring.

The application provides a DC voltage synchronous network type inverter stability analysis method and system, comprising: establishing a mathematical model of a DC voltage synchronous network type inverter system; determining a transfer function of each link of the DC voltage synchronous network type inverter system; calculating an open loop transfer function of the DC voltage synchronous network type inverter system; calculating state data of the inverter at a steady state working point; calculating a phase angle margin and an amplitude margin of the DC voltage synchronous network type inverter system, and judging the stability of the DC voltage synchronous network type inverter system at the working point; and traversing all working points to judge the global stability of the DC voltage synchronous network type inverter system. The application can be used for analyzing the small disturbance stability of the DC voltage synchronous network type inverter, and particularly analyzing the influence of different grid parameters and control parameters on the stability of the system at a certain working point.

The application discloses an underwater wellhead distributed control system and a control method, relates to the technical field of underwater wellhead control, and comprises the following steps: acquiring real-time monitoring data sets of each control node of an underwater wellhead network, wherein the real-time monitoring data sets comprise wellhead pressure time series data, fluid component concentration data and the like; performing multi-source information fusion verification on the data sets to generate a state characteristic matrix; calling a wellhead cooperative control model for analysis and decision-making to generate a cooperative control instruction set; constructing an underwater space-time synchronization network based on underwater acoustic positioning data and the relative position relationship between nodes to distribute the control instructions; and collecting feedback data sets in the execution process, comparing the feedback data sets with preset targets to generate a control error vector, and performing online adaptive adjustment on the model. The method can realize accurate and synchronous distribution of instructions and dynamic optimization of the model, adapt to complex underwater environments, and guarantee stable operation of the wellhead.

The application discloses an ECG monitoring-oriented SNN learning accelerator, which comprises a register configuration module, an asynchronous global control module, an asynchronous neural network control module, an asynchronous binary classification CNN module, an asynchronous four-classification SNN module, an asynchronous weight update module and a memory management module. Firstly, the accelerator corresponds to a circuit to build a double-layer dynamic network, hierarchical dynamic power management is performed, and a four-classification SNN network of high-precision secondary abnormality detection is selectively activated through a binary classification CNN network of primary abnormality detection. Secondly, the accelerator supports on-chip reasoning and efficient learning, effectively eliminates the ECG feature differences of different individuals under the premise of guaranteeing the privacy and security of user data. Finally, the circuit uses a pulse neural network and an asynchronous logic circuit for control, and the power consumption is greatly reduced compared with a synchronous network.

The web-based EMR backup system empowers Healthcare facility administrators by building cyber resilience to ransomware threats, data breaches, power outages, or planned downtimes. A web-based EMR backup process is provided in embodiments of the invention, enabling administrators to activate a web-based EMR system in the event of a debilitating cyber-attack, power outage, or planned downtime, that allows healthcare professionals to maintain their daily workflow using the web-based EMR backup system in order to maintain business continuity and clinical resiliency. The web-based EMR system minimizes the risks that would arise due to errors generated because of traditional record keeping methods, such as manual record keeping, while also maintaining the workflow efficiencies modern EMR systems provide. The web-based EMR backup system synchronizes any changes made during the cyber-threat, power outage, or planned downtime once the main EMR is restored to ensure data consistency and provide significant financial savings by preventing the need to reconcile the two databases by hand.

The invention discloses a transient stability analysis method for a direct-current bus voltage synchronous grid-forming type converter, relates to the technical field of power electronics, and solves the problem that real-time changes of inertia and potential along with frequency in a converter cannot be accurately described due to constant parameters of an existing transient stability analysis method for the grid-forming type converter. According to the method, nonlinear characteristics of variable inertia and variable internal potential are completely fused into an energy conservation framework for the first time, then explicit expressions of kinetic energy, potential energy and damping work are analyzed and derived, and then an implicit stability boundary equation is solved by adopting an iterative algorithm; by fully utilizing the negative feedback convergence characteristic that the frequency-dependent inertia coefficient and the frequency-dependent internal potential are updated along with the state variable, the accurate capture of the critical stable frequency distribution function is realized. According to the method, constant parameter hypothesis limitation is broken through, the deviation between the theoretical evaluation result and the actual stability boundary of the system is reduced, the analysis precision is improved, and a quantifiable theoretical basis is provided for parameter optimization and robust design of the network-forming converter.

In some implementations, a device may create a cluster of network functions from a plurality of network functions in a wireless network, wherein the cluster of network functions includes one or more network functions that are associated with a same network functionality. The device may modify one or more thresholds associated with the cluster of network functions, wherein each network function in the cluster of network functions is associated with a respective threshold of the one or more thresholds. The device may synchronize one or more configurations between the one or more network functions in the cluster of network functions.

This invention provides a method for selecting the optimal distributor in a blockchain-based peer-to-peer content distribution network. Under the conditions of a synchronous network, a static polynomial-time adversary, a global predicate defining the correctness of a given content, and a global synchronization time function, a verifiable distribution quality protocol is used to certify the quality of content distribution in the interaction between a sender S, a receiver R, and a verifier V. A comprehensive distributor reputation evaluation mechanism is established based on quantifiable and verifiable distributor service quality and domain entropy weight calculation to obtain the comprehensive credibility of each distributor. An optimal distributor selection algorithm is designed to select the most suitable distributor based on the comprehensive credibility of the distributor and the total budget of the content provider. This invention addresses the issue of trustworthiness of distributor evaluation dimension information, selects the most suitable distributor within the budget provided by the content provider, improves distribution efficiency, and fully guarantees security and efficiency.

The application discloses a kind of time synchronization network performance optimization method, device, equipment and medium, the method is applied to synchronous network probe monitoring system, comprising the following steps: when time synchronization network performance appears deterioration fault, probe equipment reports time synchronization network performance deterioration fault information to probe network management equipment;Probe network management equipment prompts operation and maintenance personnel to carry out fault maintenance to fault position, and issues first switching instruction to probe equipment, and probe equipment is switched from measurement mode to time source mode according to first switching instruction;Probe network management equipment receives fault solution receipt, then issues second switching instruction to probe equipment, and probe equipment is switched from time source mode to measurement mode according to second switching instruction;Probe equipment continues to measure and obtains the time synchronization network performance of access equipment, to complete the optimization of time synchronization network performance.The method can realize the automation and reliability of synchronous network fault root location process.

The invention provides a fault tolerance method and system for a clock synchronization network, the clock synchronization network and a computer readable storage medium. The clock synchronization network comprises at least two compression hosts and a plurality of synchronization hosts, the compression hosts comprise a main compression host and a standby compression host, and the fault tolerance method of the clock synchronization network comprises the following steps: responding to the situation that the main compression host cannot operate normally; starting a fault-tolerant function of the standby compression host to determine a local clock of the standby compression host in the integration period, and correcting local clocks of the plurality of synchronization hosts according to the local clock of the standby compression host to realize clock fault-tolerant synchronization in the integration period; and responding to normal operation or successful restarting of the main compression host, starting a fault-tolerant function of the main compression host to determine a local clock of the main compression host in the integration period, and correcting local clocks of the standby compression host and the plurality of synchronization hosts according to the local clock of the main compression host to realize clock fault-tolerant synchronization in the integration period.

The embodiment of the invention relates to the field of network communication, and provides a time synchronization optimization method and system based on nearest K-neighbor network topology, and the method comprises the steps: carrying out the clustering processing of to-be-synchronized network nodes in a to-be-synchronized network node set, and obtaining S first network node sets; reconstructing the original network topology of the first network nodes in the S first network node sets according to K adjacent intra-group communication rules to obtain a first network topology; performing time synchronization on a first network node in the first network topology to obtain a target network topology; the accuracy of performing time synchronization on the to-be-synchronized network nodes in the to-be-synchronized network node set is improved.

An on-chip network (NoC) is a critical component of a GPU, CPU, network switch, or accelerator. The network nodes may be arranged in a two-dimensional array with each network node coupled to neighboring network nodes vertically and horizontally, with or without diagonal connections. Conventional routers within network nodes are synchronous, taking from 1-10 clock cycles to determine an output port, arbitrate between virtual and physical channels, and account for credits. In contrast, in an embodiment, transmission of a packet between network nodes often occurs in less than one clock cycle because the handshake protocol and the circuitry are not synchronized using a clock signal. When implemented using asynchronous logic, the routing delay and power are reduced. The channel latency is the minimum time needed to drive the physical traces. Such an asynchronous NoC may reduce latency by a factor of two or more compared with a synchronous NoC.

The method of synchronizes network address translation (NAT) records between an active gateway and a standby gateway. The method of some embodiments synchronizes NAT records of long-term data flows more frequently than those of short-term flows. Multiple data flows pass between a device at an internal source address and a device at an external destination address through the active NAT gateway. For each flow, the method generates a NAT record. The method then determines whether the data flow is a short-term flow or a long-term flow and synchronizes the NAT records of the long-term flows, but not the NAT records of the short-term flows, with the standby gateway. The method of some embodiments synchronizing NAT records more frequently when NAT records are being generated quickly relative to prior generation rates and less frequently when NAT records are being generated slowly relative to the prior generation rates.

Modular static synchronous compensator and super-capacitor direct voltage synchronous network control method thereof, each phase comprising n H-bridge circuit modules and n super-capacitor clusters, further comprising n DC / DC modules, the H-bridge circuit modules and the DC / DC modules being connected in series to form two-stage power modules; the H-bridge circuit module control comprising a super-capacitor direct voltage power synchronous ring, a virtual excitation ring, a virtual impedance and current limiting control ring, an inner current ring and a control mode selection; the DC / DC module control comprising a direct current voltage closed loop and a direct current closed loop; the application adds DC / DC conversion between the conventional H-bridge module and the super-capacitor to realize wide-range discharge of the super-capacitor and improve energy utilization; the control strategy is combined to realize interface control of alternating current reactive power and direct current active power, completely filter out double-frequency power flowing into the super-capacitor while maintaining constant direct current voltage, and greatly prolong the service life of the super-capacitor.

A system performs automated network address synchronization in a multi-cloud environment. The system instantiates a trusted public cloud environment (TPCE) based on a specification in a first public cloud environment (PCE). The TPCE offers a set of services. The system discovers a set of external network addresses (ENAs) associated with the set of services, and records the set of ENAs in a storage in the TPCE. The system synchronizes the set of ENAs with another set of ENAs associated with a set of services in another TPCE, causing the services in the two TPCEs to have access to both ENAs associated with services in the two TPCEs.

A method for determining a relative time error between a first node 210 and a second node 220 of a synchronisation network. A measurement device is configured to record a time at which a message traverses a timeplane 280 between the first node and the second node. A first relative time error between the first node and the measurement device at the timeplane is determined by calculating the delay D between the timeplane and the first node. D = (r(Tc – Tb) – (T5 – T4)) / 2 where r is the Neighbour Rate Ratio (NRR). Thus, the first relative time error is T1 – (Ta – D). A second relative time error between the second node and the measurement device at the timeplane is determined in the same manner. The relative time error between the first and second nodes is thus the difference between the two relative time errors. The method may use Precision Time Protocol (PTP) messaging and may be employed in automotive applications where Ethernet is replacing legacy technologies. The timeplane may be part of a measurement device situated in-line between the two nodes or the timeplane may be part of a network tap operatively coupled to the measurement device.