8results about How to "Save system resources" patented technology

The application discloses a five-tuple rule matching method and device based on FPGA (Field Programmable Gate Array) multi-rule templates, and a plurality of rule templates are stored in a high-bandwidth memory, the rule templates are cascaded, and when rule matching is performed on five-tuple information in a to-be-processed message, a non-cascaded / cascaded mode is adopted to match the rule templates, so that an action strategy of the to-be-processed message is acquired. Each template matching information is flexible and configurable, complex matching functions are realized through inter-template cascading, the number of templates is effectively reduced, and system resources are reduced.

This invention belongs to the field of blockchain technology, specifically relating to a method for synchronizing the activity state between blockchains. The method executes the following steps: Step 1: Grouping the target blockchain into several sub-blockchains; each blockchain contains at least two nodes. It achieves state and data synchronization between blockchains by adding routers and synchronizers to the blockchains; routers ensure real-time data collection and generate identifier codes; synchronizers control the routers to achieve synchronization. During synchronization, the synchronizer uses an algorithm to determine whether synchronization is necessary, based on data collected by the routers, thus improving synchronization efficiency. Compared to existing technologies that require continuous acquisition of data from each node for synchronization, this method significantly reduces complexity and effectively avoids the situation where synchronization is performed when it is not needed, thus consuming system resources.

An intent negotiation method and apparatus are provided. The method includes: A first network element sends a first sub-intent of a first intent to a second network element, and sends a second sub-intent of the first intent and indication information to the second network element, where the indication information is used to indicate that the first sub-intent and the second sub-intent have a same action and a same object. The foregoing method may be used to resolve a problem that an existing intent negotiation solution causes a large waste of resources on an L-IDN side.

The invention belongs to the technical field of block chains, and particularly relates to an inter-block chain activity state synchronization method, which comprises the following steps: step 1, grouping a target block chain to obtain a plurality of sub-block chains; each block chain at least comprises two nodes. State synchronization and data synchronization are carried out by adding a router and a synchronizer in block chains, so that active state synchronization between the block chains is realized; real-time collection of data and generation of identification codes are ensured through the router; the router is controlled through the synchronizer to achieve synchronization, in the synchronization process, the synchronizer judges whether synchronization is needed or not through an algorithm, the judgment process is achieved based on data collected by the router, and the synchronization efficiency is improved; compared with the prior art that the data of each node needs to be continuously acquired to realize synchronization, the complexity is remarkably reduced, and the situation that system resources are consumed due to the fact that synchronization is carried out under the condition that synchronization is not needed is effectively avoided.

The application discloses a memory error processing method and device and a medium, and is suitable for the technical field of computers. Memory data of a memory CE fault is acquired, wherein the memory data is fault data collected after the memory CE fault starts, and the memory data is CE data; a corresponding processing strategy is set according to the data characteristics of the memory data; and when the memory data meets a preset condition, the memory data meeting the preset condition is isolated and processed according to the processing strategy corresponding to the preset condition. When the memory data of the CE data meets the preset condition, the memory data meeting the preset condition is isolated and processed according to the processing strategy corresponding to the preset condition, instead of processing all CE data, and when the preset condition is met, it means that the CE data will generate UCE data, and the memory data prone to generating UCE is subjected to fault isolation measures. While avoiding system downtime, memory space and system resources are saved, and the performance of the system is improved.

The present invention discloses a multi-sensor fusion underwater robot positioning method and system, which relates to the technical field of underwater positioning. By fusing multiple sensor information, including sonar data, accelerometers, gyroscopes, magnetic compasses and depth gauges, the positioning accuracy and stability of the underwater robot can be further improved; the sonar data provides three-dimensional information of the underwater environment, and the sensor integration provides the robot's own motion state. The combination of the two can further realize accurate monitoring of the robot's position and posture. By pre-constructing an underwater three-dimensional point cloud map and predicting the robot's state vector in advance, the real-time and adaptability of the positioning system can be enhanced. The pre-constructed point cloud map can be used as a reference to provide auxiliary information in the actual positioning process, and the state vector predicted in advance can be used to adjust the robot's motion trajectory to achieve more accurate navigation and control.

The invention discloses a video call recording optimization method and system, equipment and a storage medium, and belongs to the field of audio and video communication, in order to solve the problems that in the existing video call service, the CPU load of a system is too high and concurrent video call service cannot be provided due to video coding and decoding when the service is recorded, and discloses a video call recording optimization method and system, equipment and a storage medium. The method comprises the following steps: establishing a two-way call between a calling terminal and a called terminal; the server starts a video call recording service; the calling terminal and the called terminal send respective audio and video streams to the opposite terminals; and the server records the audio and video file of the calling terminal and the audio and video file of the called terminal. According to the invention, the problem of CPU performance overhead caused by video coding and decoding is solved, the consumption of system performance is greatly reduced, unnecessary hardware resources are reduced, video concurrent services are better supported, practical problems are solved by using relatively small resources, and the cost is reduced and the efficiency is improved.

This invention discloses a method and apparatus for loading Python code resources, relating to the field of data processing technology, primarily addressing the problem of excessive system resource consumption caused by conventional Python code resource loading methods. The method comprises: obtaining target code, wherein the target code is a portion of Python code statements within a user-compiled Python instruction; the target code includes a fully functional Python code block or at least one Python code statement within the Python code block, and the target code is obtained before the user needs to execute the Python instruction; converting the target code into corresponding executable code using a preset conversion tool, the executable code being the code that implements the function of each Python code statement when the Python instruction is executed; and loading the executable code to implement the corresponding function. This invention is used in the resource loading process of Python code.