1195 results about "Computers technology" patented technology

Embodiments of the invention disclose a method, a device and a system for processing a wake-up lock, and belong to the field of computer technology. The method comprises the following steps: detecting whether a wake-up lock is in a working state, and if so, obtaining a wake-up parameter corresponding to the wake-up lock, wherein the wake-up parameter comprises an arithmetic operation corresponding to the wake-up lock and an application program corresponding to the wake-up lock; judging whether the arithmetic operation corresponding to the wake-up lock requires a sensor of a terminal; if not, generating a wake-up transfer request according to the wake-up parameter, sending the wake-up transfer request to a server, and releasing the wake-up lock, wherein the server is used for executing the arithmetic operation corresponding to the wake-up lock; and receiving a wake-up message sent by the server, and waking up the terminal according to the wake-up message. By adopting the method disclosed by the invention, after a display screen of the terminal is closed, the system time occupancy of the application program can be reduced, the power consumption of the terminal is reduced in the case that the display screen of the terminal is closed, and the standby time of the terminal is prolonged.

The invention provides a cache management method, a cache management device, a computer storage medium and electronic equipment, and relates to the technical field of computers. The method comprises the steps of receiving a reasoning task request and distributing the reasoning task request to a target storage page; key value cache information of the first round of reasoning task is stored in a hard disk cache, and when the second round of reasoning task is executed, key value cache information generated before the second round of reasoning task is preloaded layer by layer from the hard disk cache; when the last round of reasoning task is received, storing first target key value cache information correspondingly generated by the last round of reasoning task into the matched target physical block; and performing hybrid grouping compression on key cache information and value cache information in the first target key value cache information to obtain second target key value cache information after quantization compression. According to the invention, triple balance of video memory-calculation performance-precision can be realized.

The invention discloses an intelligent customer service dialogue management method and system fused with multi-layer memory, and belongs to the technical field of computers, and the method obtains a three-dimensional context through multi-mode context awareness, achieves the dynamic scheduling of a memory system through a memory coordinator, and combines a dynamic construction mechanism of a service situation portrait, thereby achieving the intelligent customer service dialogue management. The problem that the response of the intelligent customer service system is not matched with the complex and dynamic service demand of the user due to the single situation awareness dimension and the rigid memory scheduling mechanism is effectively solved, and the adaptive personalized service response can be generated according to the real-time change of the dialogue situation.

The invention relates to an enterprise data operation multi-source data virtualization access and index automatic management and control method and system, belongs to the technical field of computers, and aims to solve the problems of index definition fragmentation, frequent logic conflicts, dependency static management and verification rule rigid coupling in the prior art. Comprising the following steps: constructing a unified virtualized data access layer to integrate heterogeneous data sources; the indexes are disassembled into semantic atoms capable of being managed in a versioning mode and registered to an atom knowledge base; dynamically constructing an index dependency relation directed acyclic graph based on semantic atom combination; dynamically binding the data quality rules with semantic atoms; and analyzing an index request through a virtualized query engine, reversely traversing atlas aggregation dependency and rules, generating and executing local query, and automatically checking result data quality at the same time. According to the method, unified index definition, dependence on automatic conduction, quality embedded verification and multi-source transparent access are realized, and the data consistency, the treatment efficiency and the system flexibility are remarkably improved.

The invention relates to the technical field of piano teaching and computers, discloses a multi-dimensional scoring auxiliary system and method in piano teaching, and aims to solve the problems that existing piano teaching is single in evaluation dimension, one-sided in data acquisition and lagged in feedback. According to the method, a five-dimensional scoring model covering rhythm, strength, timbre, posture and fingering is constructed by synchronously collecting a key triggering time sequence, an audio frequency spectrum, limb posture and finger joint tracks, and quantitative scores are output through time alignment, feature extraction and neural network fusion calculation. The system comprises a key sensing module, an audio acquisition module, a posture capture module, a score calculation module and an AR visual feedback module, and supports teaching suggestion generation, historical trend analysis, difficulty self-adaption and multi-person comparison functions. Through multi-modal data closed-loop evaluation and intelligent intervention, the teaching accuracy and individuation level are remarkably improved, and scientific quantification and efficient improvement of the piano playing ability are achieved.

The invention discloses an automatic generation method for health science popularization articles, and belongs to the crossing field of computer technology and health science popularization. The method comprises the following steps that S1, health authority information is collected through a multi-source crawler, and an original material pool is obtained through Sension-BERT vectorization duplicate removal and BioBERT medical entity labeling; s2, classifying nine types of health themes by using a RoBERTa fine tuning model; s3, multiple AI model supplementary materials are made into a structured package; s4, predetermining optimal selection questions in combination with AI three-dimensional scoring and editing; s5, calling the multi-dimensional knowledge base to generate a professional knowledge packet; s6, generating an outline and performing three-dimensional five-score system auditing of knowledge point fullness and the like; s7, the LLM expands and writes the text and marks knowledge sources; s8, performing double-stage auditing; s9, anthropomorphic draft moistening; s10, intelligently illustrating the picture; s11, when the matching degree is smaller than a preset threshold value, automatically updating the knowledge base; and S12, integrating and outputting. According to the method, the health science popularization article is generated, the manual participation time is shortened to be within 30 minutes, the medical error rate is reduced to be below 5%, the daily output of a 10-person team is improved by 3-5 times, the annual human cost is reduced by 60% or above, and the large-scale and high-quality science popularization requirements are met.

The invention discloses a workflow generation method, device and equipment, a medium and a product. The method relates to the technical field of computers, and comprises the following steps: displaying a studio editing interface in response to a preset trigger operation; in response to a node selection operation of a user on the studio editing interface, calling preset function nodes, the function nodes including at least one of a large language model node, a retrieval node, a start node, an end node, a logic node, a conversion node and a tool node; in response to a configuration operation of a user for each node on the studio editing interface, configuration information of each function node is acquired, and the configuration information of each function node comprises node attribute information and a node relationship; the workflow is generated based on the node attribute information and the node relationship of each function node on the workroom editing interface, and through the technical scheme of the invention, the workflow which can deeply cooperate with a large model, is efficient, adapts to multiple service scenes and has a low threshold can be generated.

The invention discloses a structured data-oriented multi-source feature modeling and multi-granularity intelligent grading and classifying method, and belongs to the technical field of computers. The method comprises the following steps: inputting standardized data to be graded and classified into a currently trained coarse-grained classification model for classification; determining whether the to-be-graded and classified data is subjected to manual auditing or is not subjected to manual auditing; based on a predefined sensitive data dictionary and the final rough classification result, determining a classification result of the data to be graded and classified, and taking the classification result as a fine classification result; using the updated training sample set to perform enhancement training on the currently trained coarseness classification model, and updating the currently trained coarseness classification model based on an enhancement training result; and performing attribution analysis on the fine classification result. According to the method, a set of complete and efficient structured data multi-granularity intelligent grading classification is formed.

The invention discloses a private cloud platform-based micro-service application remote main and standby disaster recovery rapid switching method, relates to the technical field of computers, and is used for solving the problems of long remote main and standby disaster recovery switching time, cold start storm, insufficient capacity evaluation and discharge strategies and complex back switching. The switching process is decomposed into controllable steps by combining real-time state feedback through a clear sequential arrangement and batch reconnection strategy of a data surface and a control surface, so that the switching time is remarkably shortened, the target of minute-level continuous availability is met, and meanwhile, the switching efficiency is greatly improved through heat set construction and standby side quasi real-time preheating before switching. Core hotspot data and indexes are loaded to the standby side in advance, it is ensured that the standby side has the high cache hit rate and index availability during master raising, and therefore the performance bottleneck caused by access of a large amount of cold data is avoided.

An image recognition method, an image recognition model training method, an electronic device, a computer-readable storage medium, and a computer program product, which can be applied to the fields of computer technology, deep learning technology, and image processing technology. The image recognition method comprises: acquiring an image to be recognized (S210); splitting a feature map of said image into a plurality of feature map patches (S220); performing attention feature extraction on the plurality of feature map patches to obtain a channel-enhanced feature map (S230); performing prompt recognition on said image to obtain spatial prompt information (S240); and performing semantic segmentation on the channel-enhanced feature map on the basis of the spatial prompt information to obtain a recognition map for a target object (S250).

The invention provides a vulnerability detection method, electronic equipment, a storage medium and a computer program product, and relates to the technical field of computers. The method comprises the following steps: acquiring a code semantic map of a to-be-detected item; performing test analysis on the to-be-detected item to obtain a vulnerability detection path of the to-be-detected item; and sending a vulnerability detection request to the large language model. And if missing element information returned by the large language model for the vulnerability detection request is received, matching nodes in the code semantic map based on the missing element information. And for each code element in the missing element information, determining a target node from the matched node based on the semantic association degree between the node matched with the code element and the vulnerability detection path, thereby sending a new vulnerability detection request to the large language model. By implementing the method and the device, the code context information can be accurately provided when the big language model is adopted for vulnerability detection, and the vulnerability detection accuracy is improved.

The invention discloses a React Native-based cross-platform Bluetooth communication unified implementation method and system, and relates to the technical field of computers.The method comprises the steps that Bluetooth communication middleware is constructed, and a native Bluetooth interface is packaged; acquiring target equipment by adopting a multi-round scanning strategy of progressive increase timeout retry and combining with an equipment name keyword filtering and Map duplicate removal mechanism; dynamically negotiating an MTU value based on a device type, fragmenting long data according to MTU-13, and ensuring ordered transmission of the data through a sending queue, ACK confirmation and timeout retransmission; defining a standard data frame containing a prefix, a packet sequence, a data type, CRC (Cyclic Redundancy Check) verification and an ending identifier, and analyzing data through buffer area accumulation and integrity detection; the state management module is used for maintaining the equipment connection state and historical records, and automatic disconnection prompting, reconnection and UI navigation resetting are achieved; according to the invention, centralized Bluetooth connection, disconnection, reconnection and other functions can be processed, so that the stability of Bluetooth communication and the integrity of data are improved.

The application discloses a kind of based on privacy protection's e-commerce user portrait design method, belong to computer technology field, including: after obtaining the user data of e-commerce platform, the user data of e-commerce is handled, including data grading, sensitive data classification and sensitive data identification;Sensitive data is desensitized and handled, and different desensitization rules are used according to different hierarchical labels, including static desensitization and dynamic desensitization;Drive the modeling of federated learning model of cross-platform user portrait, including horizontal federated learning and vertical federated learning;Enhance privacy protection mechanism through large model, including large language model and federated large model training;Output final privacy protection user portrait.The e-commerce user portrait design method based on privacy protection of the application can effectively protect the sensitive information of user from being disclosed, and has higher practical significance.

The invention discloses an automatic test script generation method and device based on deep learning, equipment and a medium, and relates to the technical field of computers. Comprising the following steps: analyzing an obtained test case to extract key test information; using a preset dynamic Bayesian classification model to perform classification evaluation on the test cases based on the key test information to obtain corresponding risk probabilities, and using a preset weight adjustment function to adjust the priorities of the test cases according to the risk probabilities; generating an automatic test script based on the test case by using a preset deep learning model; extracting failure features from the execution result of the automated test script by using a preset failure mining function, and updating the failure features to a preset knowledge base; and utilizing a preset incremental learning scheduling function to optimize a preset dynamic Bayesian classification model and a preset deep learning model based on the execution result. Therefore, intelligentization, high efficiency and sustainable optimization of automatic test script generation can be realized.

The invention discloses a resource processing method and device of a resource node, electronic equipment and a storage medium, and relates to the technical field of computers, and the resource processing method of the resource node comprises the following steps: obtaining behavior data of an application service in a current time period, and predicting multiple pieces of business index data at later moments based on the behavior data; and when the business index data of the target at the later moment meets a resource processing condition, performing resource conversion on the business index data of the target at the later moment to obtain a resource demand. And selecting a target resource node based on the resource demand quantity, and carrying out resource capacity expansion and shrinkage on the target node. Therefore, whether resource expansion and contraction are carried out or not can be determined through the service index data, if yes, the target resource node is selected through the resource demand quantity, then resource expansion and contraction are carried out on the target resource node in time, response does not need to be started after a resource expansion and contraction signal is received, and the resource expansion and contraction efficiency is improved. The technical problem of service unavailability or resource waste caused by delay is effectively avoided.

The invention discloses a development data query management method and system based on data security, and relates to the technical field of computers, the method comprises the following steps: obtaining a query task configured by a user at a client based on a target demand; performing access permission pre-verification from the dimensions of a user, a role and a data resource through a three-level permission model, and performing security processing on a query task and associated data after verification succeeds to generate a standardized query task with a security identifier; extracting multi-dimensional features of request execution time, task emergency degree, data scale and data type; generating a storage node priority sequence; a plurality of mainstream databases are adapted through a unified adaptation interface, and task analysis, conversion and execution are completed; monitoring a task execution state in real time; according to the method, access permission preprocessing can be carried out from multiple dimensions of users, roles and data resources through a three-level permission model and security processing, and the risks of unauthorized access and data leakage are avoided.

The invention is suitable for the technical field of computers, and provides an integrated code generation method which comprises the steps that on a low-code platform, a seed code is generated based on a data model, and the seed code comprises service metadata capable of being recognized by a development environment; analyzing a data model and a business rule on which the seed code is based, and constructing a multi-dimensional meta-knowledge graph; in a code editor, analyzing the business metadata to generate a business context; deducing a service constraint condition from the service context, and converting the service constraint condition into a code generation constraint; on the basis of the code generation constraints, code snippets are generated through an AI programming assistant in combination with the seed codes, and therefore semantic matching is carried out on data relations, service rules and the like in services and constraint conditions needed by code generation through integration of low-platform codes, a code editor and the AI programming assistant, deep semantic understanding is achieved, and the service quality is improved. And generating a corresponding code snippet.

The invention relates to the crossing field of computer technology and intelligent security protection and fire fighting, discloses a security protection and fire fighting integrated linkage method and system based on multi-dimensional perception, and aims to solve the problems of data isolation, single perception dimension, linkage response lag and difficulty in studying and judging compound risk events of a security protection and fire fighting system in the prior art. The method comprises the following steps: fusing security and protection, fire protection and three-dimensional space structure data, and constructing a unified space-time situation map; identifying an abnormal event cluster by using a graph neural network, and judging an event type through a multi-modal classifier; and predicting an event evolution trend in combination with a risk propagation model, dynamically generating an integrated co-processing instruction set, and driving linkage execution of security and fire fighting equipment. The system comprises a multi-dimensional perception acquisition module, a data fusion module, an intelligent research and judgment module, and a strategy generation and linkage execution module. According to the method, deep data fusion, accurate composite event identification, risk active prediction and closed-loop cooperative processing are realized, and the intelligence and cooperative efficiency of safety response are remarkably improved.

The invention relates to the technical field of computers, in particular to a load awareness and task migration scheduling method of a heterogeneous multi-core power terminal and related equipment. A real-time load state vector is constructed by collecting core load state data, tasks are classified, dynamic priorities are calculated, and task priority data are generated. And calculating a global load imbalance degree according to the real-time load state vector, and triggering a task migration scheduling process when the global load imbalance degree exceeds a set threshold value. In the process, a utility function model is constructed based on task priority, performance gain and migration cost, utility calculation is carried out on a task and target core combination, an optimal migration scheme is screened, migration operation is executed, and efficient distribution of tasks and dynamic optimization of system energy consumption are achieved. According to the method, real-time load balancing and optimal performance scheduling of the heterogeneous multi-core power terminal are realized, so that the task processing efficiency and the operation stability are remarkably improved.

The invention belongs to the technical field of computer technology server data processing, and discloses a method and a system for generating observable data through lightweight collection of WEB container logs. According to the method, a mode of expanding a filter of a WEB container is adopted, a user-defined filter is added to generate data in a set format, and the data is output to a log file; the method comprises the following steps: extracting data in a log, processing the data, and then calling a log storage module to store the data in a storage; creating an index according to the label, and maintaining a mapping relationship between the index and the original log content; and converting the log data into an observable view by utilizing the maintained index and data file storage structure. According to the method, lightweight design serves as the core, logs serve as carriers of original data, the resource cost of the data from generation, collection to display is reduced, the observability requirement is met, and the provided data can meet aggregation display of common various dimension index data.

The invention discloses a switching communication device, a switching communication method and a server, relates to the technical field of computers, and realizes equipment-level decoupling and resource pooling basis by actively managing a GPU (Graphics Processing Unit) through a second interface configured to be in a root complex mode. The on-chip management system and the switching logic module form a control core, a data switching strategy is dynamically executed, and conversion from passive forwarding to autonomous management is achieved. And the virtual port module performs software definition and dynamic allocation on network resources, so that the flexibility of resource utilization is improved. Meanwhile, MAC ports in two modes of direct connection and exchange are supported, so that the device can flexibly construct a high-performance direct connection network or a large-scale exchange network, and the limitation of fixed topology is broken through. And the data processing module ensures high efficiency of data conversion between different interface protocols. According to the device, the communication efficiency and schedulability between the GPUs are improved by integrating high-speed exchange, intelligent management, resource virtualization and flexible networking capabilities.

The invention relates to an information interaction method and device fusing a large language model and a digital twinborn platform, and belongs to the technical field of computers.The method comprises the steps that when a large oracle model needs to be called for semantic analysis processing, a vectorized knowledge base is constructed based on digital twinborn space information; performing semantic matching on the natural language instruction and vectorization information in a vectorization knowledge base to obtain enhanced context information related to the natural language instruction; the natural language instruction and the enhanced context information are input into a large language model together, reasoning is carried out through the large language model, and a structured execution instruction is generated; and converting the structured execution instruction into the first control instruction identified by the digital twin platform and executing the first control instruction, thereby facilitating the smart city management platform to support natural language input and context-aware interaction, and further facilitating the improvement of the intelligent level and the man-machine interaction efficiency of the smart city management platform.

A method for recording data and an apparatus, an electronic device and a non-transitory computer readable storage medium is provided, and relates to the field of computer technologies. The method includes: configuring a BIOS and a BMC to share a shared memory of a CPU respectively, wherein the shared memory is a preset area of a memory mounted by the CPU; establishing a rule for using the shared memory for the BIOS and the BMC; when a server is started, checking a shared channel for the shared memory to determine whether the shared memory is successfully initialized; and transferring data related to RAS collected by the BIOS to the BMC via the shared memory based on the rule for using the shared memory, in a case where the shared memory is successfully initialized.

The present invention provides a method, apparatus, device, and computer-readable storage medium for controlling game operation, which belong to the computer technology field. The method includes the steps of: displaying a first game screen, the first game screen including a virtual object located in a virtual environment; controlling the virtual object to play a game in the virtual environment; displaying a second game screen in response to a trigger operation of a rewind function, the second game screen being a screen obtained by controlling the game progress so that the game state of the virtual object in the virtual environment returns to a history state; and controlling the virtual object to resume the game from the history state. The method allows for diversification of game operation control methods and improvement of the flexibility of operation control.

The invention discloses an R-tree spatial index design method oriented to a DRAM-NVM hybrid storage architecture, relates to the technical field of computer data storage, and provides a write optimization spatial index HR-Tree under the DRAM-NVM hybrid architecture. The core design thought is that internal nodes are deployed on a DRAM, leaf nodes are placed on an NVM, and a targeted data read-write operation process is designed; in the aspect of an index structure and an operation mechanism, a minimum expansion strategy is adopted around a scene of less reading and more writing, a leaf node data structure and an in-situ updating algorithm on the NVM are designed in a targeted manner, and the write request processing efficiency can be improved on the premise of ensuring data consistency. And the multi-character data expansion and efficient fault recovery are provided, so that the actual requirements of the user are better met by allowing more flexible personalized configuration and shortening the service pause time. The method is suitable for the application fields of computer technology, database technology, data storage and the like.

This invention relates to the field of computer technology, specifically to a method and apparatus for integrating third-party algorithm components based on dual-core collaboration. This application directly integrates third-party algorithm components into the BCM dual-core MCU, eliminating reliance on ZCU and CAN bus communication. This fundamentally eliminates the latency and security overhead caused by cross-ECU transmission and E2E protection, improving signal real-time performance and communication security. By clearly defining the functions and allocating resources of the BCM dual-core, a dedicated storage area is planned for the third-party algorithm components, and a standardized integration environment is built, achieving efficient and stable component integration. Simultaneously, peripheral access strategies are optimized, unnecessary protections and redundant polling are disabled, releasing idle computing power and hardware resources of the BCM and improving utilization. Without increasing the ZCU hardware cost, the chassis braking algorithm is deployed and executed locally, reducing performance losses caused by cross-domain communication and effectively improving the overall system operating efficiency and resource utilization efficiency.

This application relates to the field of computer technology, specifically to a consistency detection method, apparatus, and electronic device. The method includes acquiring a message forwarding link in a messaging system; acquiring message transmission record files of each node in the message forwarding link and statistical information on the number of transmitted messages for each node, according to the message forwarding link; the message transmission record files include message transmission records generated for the transmitted messages; performing message content consistency verification based on the message transmission record files of multiple nodes in the message forwarding link to obtain a first verification result; performing message quantity consistency verification based on the statistical information on the number of nodes in the message forwarding link to obtain a second verification result; and determining the message consistency verification result of the messaging system based on the first and second verification results. The method provided in this application realizes automated detection of message consistency in a messaging system, improving the detection efficiency of consistency detection.

This application relates to the field of computer technology and provides a regression data analysis method, computer device, and medium based on unsupervised learning. The method includes: analyzing regression logs using a natural language processing model to determine the natural language analysis results associated with the regression logs; determining the error type associated with the regression logs based on the natural language analysis results associated with the regression logs using an unsupervised learning model; and determining whether the regression logs contain anomalous regression test cases based on the natural language analysis results associated with the regression logs using an anomaly detection model, and, when the regression logs contain the anomalous regression test cases, determining the error type associated with the anomalous regression test cases. This provides efficient error localization and saves on localization components, thus helping to improve verification efficiency.

This invention provides an agentless intelligent monitoring and alarm method and apparatus, relating to the field of computer technology. The method includes: a cloud center platform acquiring monitoring task configuration information and synchronizing it to an edge collector; the edge collector pulling monitoring data through a multi-protocol adapter corresponding to the monitoring task configuration information to obtain monitoring data to be processed; the cloud center platform processing the monitoring data to be processed sent by the edge collector to obtain target monitoring data; the cloud center platform using an anomaly detection model to perform anomaly detection on the target monitoring data, using a time series prediction model to predict the trend of the target monitoring data, adjusting the alarm threshold through an adaptive alarm threshold engine, and comparing the anomaly detection results, trend prediction results, target monitoring data, and alarm threshold to generate alarm information. This invention solves the problems of high deployment and maintenance costs, high security risks, low alarm accuracy, and limited coverage in large-scale complex environments.

The application relates to a complex texture textile defect recognition method and system based on feature decoupling, and relates to the field of computer technology, which comprises the following steps: obtaining a multi-scale feature set of an original textile image to obtain a complex texture fusion feature; projecting the complex texture fusion feature to two mutually orthogonal hidden subspaces to obtain a reference texture component and an abnormal disturbance component; performing manifold alignment processing on the reference texture component based on a preset texture library to obtain a texture reconstruction feature; performing feature fusion on the texture reconstruction feature and the abnormal disturbance component to obtain a texture residual feature; performing adaptive threshold segmentation on the texture residual feature to obtain a defect feature map of the original textile; and performing connected domain analysis processing on the defect feature map to output a defect detection result. The application has the effects of improving the robustness of textile detection, meeting the needs of real-time detection in a pipeline, and reducing the computing resources and labor costs.