25results about How to "Reduce processing overhead" patented technology

The embodiment of the invention discloses a response method and device for an interrupt signal of a virtual machine, a terminal and a storage medium. The method comprises the following steps: in response to a target trigger operation of external equipment of a virtual machine, obtaining target interrupt information matched with the target trigger operation from a pre-configured interrupt information set, and determining a target virtual processor for processing the target trigger operation; sending a target interrupt signal to the target virtual processor according to the target interrupt information through a target message interrupt controller matched with the target virtual processor; the target interrupt signal has a corresponding first physical address. And determining a second physical address matched with the first physical address according to pre-configured address mapping, and executing the target interrupt signal based on the second physical address through the physical processor to complete interrupt response of the target trigger operation. Through the embodiment of the invention, frequent operation of the virtual machine monitor is avoided, the system overhead is reduced, and the operation efficiency of the virtual machine is improved.

A data processing method, device and equipment and storage medium, relating to the technical field of computer. The method comprises: determining target data to be accessed in a storage space; updating a first frequency parameter of the target data and a second frequency parameter of the target data, the first frequency parameter being used to represent the number of non-repeated data accessed in the latest two access intervals of the target data, and the second frequency parameter being used to represent the number of accesses of the target data in the latest n accesses; in the case that the target data belongs to a retention cold data set, if the first frequency parameter of the target data is less than or equal to a first threshold value, and the second frequency parameter of the target data is greater than or equal to a second threshold value, the target data is transferred from the retention cold data set to a hot data set. The present application is applicable to multimedia data storage and push scenarios, and can also avoid frequent data exchange processes in the case of some sudden batch data operations and periodic data access, which helps to reduce device processing overhead.

The invention discloses an uplink service message identification processing method and device, a terminal and a medium. The method comprises the following steps: acquiring core feature information corresponding to an uplink service message; obtaining a target message core data structural body according to the core feature information; obtaining a PDU session identifier corresponding to an uplink service message based on the target message core data structure body; obtaining a QoS flow identifier based on the PDU session identifier and the target message core data structure body; based on the QoS flow identifier, obtaining an uplink service message after scheduling processing; performing query processing on the QoS flow identifier to obtain a target packet data convergence protocol instance; and completing a QoS identification processing flow of the uplink service message based on the target packet data convergence protocol instance. The invention aims to realize rapid QoS identification, classification and processing of the uplink service message, improve the message processing efficiency and accuracy, and reduce the system resource overhead.

The present application belongs to the field of logistics information technology and edge computing technology, and discloses a logistics terminal data real-time processing method based on edge computing, which comprises the following steps: initializing a bottom hardware interface, mapping heterogeneous original signals into a unified structured data frame; activating a streaming correlation analysis engine, calculating the joint deviation intensity of multi-modal physical quantities and triggering cross-modal fusion; based on task characteristic fingerprints and system load prediction trajectories, hard binding the task to a specified processor core; realizing business logic atomic switching through double-buffer bytecode hot updating; starting a Markov chain probability state machine to maintain autonomous decision-making and perform incremental differentiated storage when the network is disconnected. The present application improves the real-time performance, reliability and business flexibility of logistics terminal data processing, and is suitable for various logistics terminals that require edge computing for real-time data processing. The present application solves the problems of control response delay and business rule updating difficulty of existing logistics terminals under network fluctuation and high concurrent load working conditions.

The embodiment of the invention provides an instruction processing method and device, electronic equipment and a readable medium, and relates to the technical field of computers.The method comprises the steps that a to-be-replaced instruction in a target binary program is recognized, and operation codes and operands of the to-be-replaced instruction are extracted respectively; the instruction to be replaced is a vector instruction which is not supported by the current equipment. Based on the operation code and the operand, obtaining a scalar instruction sequence corresponding to the instruction to be replaced; wherein functions realized by the scalar instruction sequence are correspondingly the same as functions realized by the instruction to be replaced. And before the to-be-replaced instruction is executed, replacing the to-be-replaced instruction with the scalar instruction sequence. Therefore, by identifying the vector instruction which is not supported by the current equipment, only the vector instruction which is not supported by the current equipment is replaced by the corresponding scalar instruction sequence, so that the overall processing overhead can be reduced and the processing efficiency can be improved while the replaced instruction can be normally executed in the current equipment.

The invention relates to the technical field of big data management, in particular to a whole-process performance data management method based on big data. The specific implementation process comprises the steps of obtaining heterogeneous behavior traces, deconstructing and packaging the heterogeneous behavior traces into space-time cross-domain data streams, and inputting the space-time cross-domain data streams into a distributed cooperative monitoring model; an asynchronous pause frequency and a cross-domain retrieval track are extracted, a cooperative friction coefficient is calculated, and a cooperative retardation degree is generated; inputting the collaborative friction coefficient and the collaborative retardation degree into a performance evolution engine, generating a targeted dynamic weight, and outputting a targeted collaborative performance report; and outputting a resource intervention instruction when the cooperative retardation degree change slope exceeds a preset warning threshold. According to the method, real-time unified access of multi-source heterogeneous process data, continuous association modeling of cross-system behavior tracks, detection of flow blocking nodes and online dynamic updating of evaluation weights are realized by utilizing a distributed collaborative monitoring model and a performance evolution engine, so that the association processing delay of the cross-system data is reduced; and the timeliness and accuracy of flow anomaly detection are improved.

The application discloses a data query method, device and system, and belongs to the field of data communication. The method comprises the following steps: a network device receives first data and first demarcation information, and receives second data and second demarcation information; the first demarcation information is used for indicating information of a last response node corresponding to the first data; the second demarcation information is used for indicating information of a next response node of the last response node; the second data comprises data of the next response node; and the network device integrates the first data and the second data according to the first demarcation information and the second demarcation information. The first data and the second data are data queried from a data model in different batches. The data query method can help to reduce the processing cost of the network device, thereby reducing the processing cost of the data query scheme.

The present invention discloses an automated traffic regulation compliance determination method and device for autonomous driving testing, and belongs to the field of autonomous driving technology. The method comprises: obtaining a scene map of the autonomous driving test, and drawing a semantic map based on the scene map, wherein different traffic elements in the scene map correspond to different colors in the semantic map; performing an autonomous driving test, and calculating the vehicle projection area of ​​the test object in the semantic map based on the world coordinates and bounding box of the test object; judging whether the vehicle projection area contains the target traffic element based on the color of the traffic element; judging whether the test object complies with traffic rules based on the judgment result of whether the vehicle projection area contains the target traffic element; and evaluating the traffic regulation compliance of the test object according to the statistics of the test object's compliance with traffic rules during the autonomous driving test. The present invention improves the accuracy and reliability of the traffic regulation compliance determination results, and improves the determination efficiency.

This invention relates to the field of financial risk management technology, and discloses a method and system for measuring financial risk based on quantum true random numbers. The method includes: receiving scalar data of a target financial derivatives portfolio; mapping asset prices and trading impact quantities to price matrix operators and trading impact matrix operators, and initializing a dimension mask operator to shield higher-order dimensional regions; controlling a quantum true random number generator to output a physically true random bit sequence and writing it into a circular buffer, reconstructing it into a standard normal random increment matrix; calculating the Frobenius norm of the commutator matrix to determine the reflexivity strength index; modifying the dimension mask operator to activate higher-order subspaces and completing multiplication iteration operations; calculating the expected price and outputting the value at risk. By introducing a physically true random source to eliminate pseudo-random sequence bias, utilizing operator non-commutativity to quantitatively characterize market reflexivity effects, and adaptively adjusting the dimension to achieve a balance between solution accuracy and computational power.

This invention belongs to the field of communication network and data scheduling technology, and discloses a target-driven intelligent data scheduling method and system. The method includes: Step 1, when the front-end device detects a high-value target, it inserts a priority transmission marker into the data stream. After the data plane network node identifies the marker, it dynamically generates a high-priority forwarding rule locally and reports the information to the SDN controller in real time; Step 2, the SDN controller performs target matching and path management based on the reported information. When the same target moves or reappears, it performs priority retention or release operations on the old path. This invention realizes closed-loop scheduling with data plane autonomously triggering priority promotion and control plane intelligently managing priority callbacks. It eliminates the need for the SDN controller to pre-issue flow tables, reduces the control plane load, avoids bandwidth waste caused by fixed QoS policies, and ensures continuous priority transmission of video streams when targets move across devices. It is suitable for scenarios such as security monitoring.

The application discloses a kind of intelligent body supplementary audit node's read-only execution control method and system, belong to computer security control, command execution restraint and intelligent body audit technical field, including: obtaining the execution result of pre-audit node;When abnormal mark meets trigger condition, supplementary audit node insertion request is generated;Before supplementary audit node instantiation, generate and match execution context fingerprint, cancel to start when mismatch;When matching, the accessed directory set of pre-audit node is processed with the preset read-only directory set.The application serializes execution context fingerprint and ticket verification, dynamic compact authorization directory prefix generation, environment variable active purification and relative path verification based on kernel file descriptor into complete continuous defense closed loop, forms four control chain schemes of time sequence locking, dynamic boundary, active purification and kernel object anchoring first and last occlusion.

The invention provides a gatekeeper isolation exchange system and method. The system comprises an external network end, an internal network end and a data ferry device. The external network end and the internal network end are respectively provided with a data packaging module and a Flag module. And the data packaging module is used for packaging the service data according to the communication protocol to obtain a service data packet, and the tail of the service data packet is provided with a CRC check code. The Flag module is used for configuring identity information of the service data to obtain an identity information data packet, the identity information data packet comprises an identity authentication code, and the identity authentication code is a binary variable. The data ferry device comprises a data packet transmission module, an identity verification module and a CRC verification module. The identity verification module is used for carrying out identity authentication on the identity information data packet, the CRC verification module is used for judging whether the service data packet is complete or not, and the data packet transmission module is used for forwarding the verified service data and / or identity information data to a target network. According to the invention, different types of data can be quickly identified and processed, the flexibility is high, and the transmission efficiency is high.

The present invention discloses a node injection attack method and device based on target subgraph partitioning. The method of the present invention includes taking a graph structure data set containing entity nodes as original graph data; dividing the original graph data into multiple subgraphs by a community detection algorithm, and selecting the most relevant target subgraph from the multiple subgraphs according to the position and local structure of the target entity node; generating features that match the injected entity node with the neighborhood features of the target entity node based on the attack on the target subgraph, and optimizing the features of the injected entity node; mapping the optimized injected entity node to the original graph data, and establishing a connection relationship with the entity node in the original graph data according to the neighborhood structure of the target entity node, so as to complete the adversarial attack on the graph neural network based on the connection relationship. The present invention solves the efficiency and concealment problems of the existing graph injection attack method when processing large-scale graph data, and the method has a higher attack success rate.

The invention discloses a service delivery channel management-related servitization method and a service delivery channel control plane network element, and belongs to the technical field of communication. The method comprises the following steps: sending a service registration request message to a network resource database, wherein the registration request message carries configuration information of a service transmission channel control plane network element; receiving a service registration success response message returned by the network resource database; the method further comprises the following steps: the source network function entity sends a service discovery request message to the network resource database, wherein the service discovery request message carries query parameters including the network function type of the source network function entity, the network function type of the target network function entity and the matching parameters; receiving a service discovery request response returned by the network resource database; the source network function entity comprises one of the following: an access and mobility management network element, an access module of a service transmission channel control plane network element, and an anchor module of the service transmission channel control plane network element.

This invention relates to the field of signal processing technology, and discloses a synchronization header design and receiving processing method, system, device, and storage medium, wherein the method includes: constructing a length of... l The base sequence is obtained by performing autocorrelation on it, calculating the peak-to-peak ratio (PPR) of the autocorrelation results, and iteratively searching to find the base sequence with the highest PPR, which is then used as the optimal base sequence. n Group length is k The mask sequence, using the optimal base sequence as the basic unit and n The group mask sequence is XORed to obtain a sequence of length . n × k × l The invention generates a synchronization header sequence and outputs a dual-polarization synchronization header sequence through dual-polarization processing. It receives a received sequence containing both the dual-polarization synchronization header sequence and a noise sequence, constructs a dual-polarization local sequence based on the optimal base sequence, performs coherent and incoherent processing on the received sequence according to the local sequence, and outputs the corresponding processing results. This invention significantly reduces the number of multipliers and adders required for a single computation, resulting in low hardware processing overhead.

This invention discloses a speech understanding triage method based on speech necessity judgment, belonging to the field of speech recognition technology. To address the problems of existing technologies lacking pre-judgment of the necessity of preserving the original speech and struggling to balance speech understanding accuracy and processing cost, this invention performs automatic speech recognition on the input speech and extracts prosodic acoustic features. Based on recognition confidence, prosodic acoustic features, and text uncertainty, it determines whether the current input speech must rely on the prosodic and acoustic information in the original speech, thereby determining whether to use a text transcription model path or an end-to-end speech model path, and outputs the speech understanding result based on the corresponding path result. This invention can control processing costs while ensuring speech understanding accuracy, achieving a beneficial effect that balances understanding accuracy and efficiency. It is applicable to fields such as intelligent terminal voice interaction, speech recognition, natural language understanding, and intelligent human-computer interaction.

The invention discloses a pedestrian role recognition and cross-camera de-duplication engineering method, which relates to the technical field of pedestrian analysis and comprises the following steps of: inputting and preprocessing multiple paths of videos; pedestrian detection and single-camera tracking are carried out; pedestrian feature extraction and role reasoning; cross-camera de-weighting is carried out; global identity and role information management; according to the method, through breakthrough in the two aspects of algorithm innovation and system engineering, many limitations in the prior art are overcome, the core technical index of pedestrian analysis is improved, and more importantly, the practicability, reliability and expandability of the method in a real and complex environment are enhanced; according to the video monitoring system, the whole process processing from video input to result output is realized, the complex challenge of real world monitoring application is effectively handled, and the video monitoring system can better serve diversified application scenes of security, management and business intelligence, so that the video monitoring system is endowed with higher-level intelligence and wider practical value in practical application.

The application relates to an engine health management method and system based on multi-source heterogeneous data fusion and a hybrid neural network, which comprises the following steps: collecting multi-source sensor data of an engine and performing pretreatment, obtaining time sequence samples through a sliding window technology according to the pretreated multi-source sensor data; inputting the time sequence samples into a double-branch hybrid neural network for feature extraction to obtain multi-scale local features and global sequence features; fusing the multi-scale local features and the global sequence features into enhanced comprehensive features through a self-adaptive feature fusion mechanism based on a Transformer; inputting the enhanced comprehensive features into a full connection network for regression to obtain a residual life prediction value of the engine, and judging the residual life prediction value of the engine according to a preset health threshold to obtain an engine health state grade and fault warning information; compared with the prior art, the application significantly improves the precision and calculation efficiency of the engine residual life prediction.

The embodiment of the present invention provides a method, device, equipment and storage medium for identifying brain activity states, the method comprising: obtaining the user's EEG signal data; obtaining the characteristic information of the EEG signal according to the user's EEG signal data and the target artificial neural network model; the target artificial neural network model includes spiking neurons; determining the brain activity state boundary information and target integration information according to the characteristic information of the EEG signal and the target spiking neural network model; the target spiking neural network model is used to determine the pulse emission position based on the characteristic information of the EEG signal; the brain activity state boundary information is used to represent the time information of the brain activity state switching; the target integration information represents the brain activity information between adjacent brain activity state boundaries; and identifying the user's brain activity state according to the brain activity state boundary information and the target integration information. The method of the embodiment of the present invention realizes accurate identification of brain activity states.

The application discloses a communication method and device based on a distributed soft bus, equipment and a medium. The method comprises the following steps: a DFS communication node sends a node query request information to an associated preset DFS center node; according to the node query request information received by the preset DFS center node, target node communication configuration information and a target DFS communication node are determined from the first cache information of the preset DFS center node, and the preset DFS center node is instructed to send the target node communication configuration information to the target DFS communication node; and the target node communication configuration information received by the target DFS communication node is cached in the memory corresponding to the target DFS communication node. The technical scheme of the embodiment of the application stores the node communication configuration information of the DFS communication node by using the DFS center node deployed in advance, and provides a query service for the DFS communication node, so that the DFS communication node does not need to store the node communication configuration information irrelevant to its own business, the processing overhead of the CPU is reduced, and the efficiency of service discovery is improved.

The invention discloses a tubular part classification method based on deep learning, and the method comprises the following steps: 1, obtaining the spatial information of tubular parts, and generating three-dimensional point cloud data; 2, preprocessing the data obtained in the step 1, and performing local cylinder fitting and geometric segmentation processing according to the preprocessed data to obtain a plurality of cylinder segments and corresponding parameterized representations; 3, extracting local geometric features of each cylindrical section, and generating a high-dimensional vector descriptor; 4, constructing a topological structure diagram according to the spatial relationship among the cylindrical sections; 5, performing global topological feature fusion on the topological structure diagram through a graph neural network, and generating semantic feature representation of each node and the overall structure; and 6, classifying the tubular parts according to the semantic feature representation. According to the method, targeted improvement is carried out, and the problems that a traditional geometric rule algorithm is high in calculation complexity, a deep learning model is difficult to express a topological relation, and heterogeneous input compatibility is poor are solved.

The invention relates to a message processing method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: a first classifier sequentially classifies a plurality of messages in a received message sequence based on a first processing mode to obtain an mth message set, and sends the mth message set to a second classifier; the mth message set comprises at least one message belonging to the same first type; m is greater than or equal to 2; the second classifier classifies the mth message set based on a second processing mode to obtain a second type of messages in the mth message set; and if the second type of the message in the mth message set is different from the second type of the message in the (m-1) th target message set, sending the (m-1) th target message set to a second message processing node, so that the second message processing node processes the message in the (m-1) th target message set. By adopting the method, the message processing overhead can be reduced.

Embodiments of the present application disclose a chip testing method and device, a storage medium and a chip, and relate to the field of chips. The embodiments of the present application use a same set of programs to test chips of different packaging modes, improve compatibility of a testing process, and reduce workload of programming of testing code. In addition, test data generated by a chip is stored in an external memory outside the chip, compared with that the testing device actively collects the test data on IO pins of the chip, IO operation of the chip can be reduced, and processing overhead of the chip can be reduced.

This application provides a PLC instruction-level two-factor authentication system and method based on a hardware root of trust. It includes: a session authentication module for performing session-level two-factor authentication based on device authentication information corresponding to the user password factor and the client device's device identity key; a key derivation module for deriving a token key and an instruction key based on the session master key; an instruction encryption module for performing authentication encryption processing on control instructions using the instruction key, and generating instruction ciphertext and an authentication tag; and an instruction execution module for decrypting the token ciphertext using the token key and verifying the device identifier, validity period information, and instruction permission information of the decrypted security token. If the verification passes, the instruction ciphertext is decrypted to obtain the control instruction and executed. This application can improve the strength of instruction-level authentication and authorization verification, enhance cross-layer identity consistency assurance capabilities, and reduce the processing overhead of instruction security verification.