2229 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 a GIS interactive visualization processing method and system for geographic coordinate data, and relates to the field of GIS and the technical field of computers. The method comprises the following steps: collecting multi-source geographic coordinate data, preprocessing the multi-source geographic coordinate data, and standardizing the preprocessed multi-source geographic coordinate data to obtain target multi-source geographic coordinate data; loading the target multi-source geographic coordinate data to a GIS map, and displaying the target multi-source geographic coordinate data through different layers; automatically detecting and marking data quality based on a display interface corresponding to the GIS map; and correcting the detected problem data based on a GIS map by adopting an interactive data correction mode. According to the method and the device, the technical problem of low data processing efficiency caused by difficulty in intuitively reflecting the spatial distribution characteristics and the association relationship of the data because the current geographic coordinate data treatment method mostly depends on the traditional data processing means and presents the data in the forms of texts and tables is solved.

The invention discloses a task execution method, device and system, electronic equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: obtaining a result of executing a first task by a first tool, namely a first execution result, and dynamically determining a second call instruction of a second task based on a task set and the first execution result, the optimal action of the next task can be determined according to the actual execution result of the previous task, meanwhile, the tool for executing the next task is determined through the task set and the actual execution result of the previous task, and the optimal tool for executing the task can be dynamically selected based on the resource change in the task execution process, so that the task execution efficiency is improved. The technical problem that the task cannot be efficiently executed in the prior art is solved, and the technical effects of dynamically planning the task and efficiently executing the task are achieved.

The invention discloses a memory management method, a program product, equipment and a medium, and relates to the technical field of computers.The memory management method comprises the steps that memory configuration information in the system kernel starting process is obtained, and a reserved memory range is determined based on the memory configuration information; segmenting the reserved memory based on the hot plug framework of the memory and the reserved memory range; allocating corresponding target metadata to each reserved memory segment to obtain a configured physical memory; the target metadata is metadata representing a data structure of the physical memory page; establishing a target mapping array based on the memory configuration information; the target mapping array is used for recording a mapping relation between a physical address and a logic page number in the configured physical memory; responding to the target memory access request by utilizing the target mapping array, and completing corresponding memory access operation; the target memory access request is an access request initiated for the reserved memory, so that the universality of the reserved memory is improved, the overall manageability of the system is enhanced, and the complexity and maintenance burden of the system are reduced.

The invention relates to the technical field of computers, in particular to a dynamic configuration initialization and version synchronization method and system for multi-agent service, and the method comprises the following steps: obtaining a database update lock, constructing a database migration script dependency relationship, determining a current version of a database mode, upgrading and deploying the database mode, and verifying agent versions. The method has the beneficial effects that a rigorous database updating lock control mechanism, perfect migration script dependency chain verification, agent version management, port availability detection, idempotence and transaction safeguard measures are introduced, so that the processes of database structure upgrading and agent version initialization in a distributed deployment environment can be effectively supported; and the data consistency, the operation stability and the service continuity of the system are ensured.

The invention relates to the technical field of computers, and discloses a real-time rendering and interaction method and system for an immersive virtual reality scene. The method comprises the following steps: fusing tuner inertial data and eyeball tracking data, and constructing a prospective state prediction model; generating a predictive focus field in combination with scene visual saliency; synthesizing an anisotropic temporal-spatial resolution graph according to the predicted head angular velocity; gPU variable-rate coloring is driven to realize non-uniform rendering; and re-projection or dynamic fuzzy correction is executed in a self-adaptive manner according to the attitude prediction error before display. According to the technical scheme, the perception delay and the rendering load are remarkably reduced, and the frame rate stability and the visual immersion in a high-dynamic scene are improved.

The invention discloses a resource metering method and device, electronic equipment and a storage medium, and relates to the technical field of computers.According to the resource metering method and device, due to the fact that a sliding window aggregation algorithm is adopted to merge use features of heterogeneous resources according to dynamic step length and duration, metering information of burst loads can be accurately captured, and metering efficiency is improved. Meanwhile, the charging rule is determined by combining the pre-training pricing model of real-time resource supply and demand and user characteristics, and resource use metering and adaptive charging which are finer than minute-level sampling are realized, so that the problems that the deviation between the resource use amount and the charging amount is obvious and the charging efficiency is low due to the fact that an existing charging method adopts a minute-level sampling mechanism can be solved. The technical problems of the prior art are solved, and the technical effects of improving the accuracy of heterogeneous resource charging and enhancing the credibility and fairness of the charging system are achieved.

The invention discloses a server starting control method and electronic equipment, relates to the technical field of computers, is applied to a universal boot loader, and comprises the following steps: obtaining a signature verification public key through an input interface; verifying and decrypting the signed mirror image header of the kernel mirror image by using the signature verification public key so as to recover the original mirror image header of the kernel mirror image; extracting a reference metric value of the kernel mirror image from the head of the original mirror image; calculating a to-be-verified metric value based on the kernel mirror image of which the head of the original mirror image is recovered, and comparing whether the to-be-verified metric value is consistent with the reference metric value or not; and if yes, loading the operating system. On the basis of not modifying the design of the server mainboard, active, complete and efficient trusted measurement of the BMC starting process is 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 discloses an all-media operation intelligent analysis platform based on big data, and relates to the technical field of computers, the platform comprises a data acquisition module, the data acquisition module applies a distributed crawler technology, compiles customized scripts, and combines social media official API calling and data interface docking or pushing of a cooperation platform to obtain a data acquisition module; all-media data including texts, images, audios and videos are collected from web pages, social media and news clients in real time; through a distributed crawler technology, social media official API calling and cooperation platform data interface docking, all-media data including texts, images, audios and videos are collected in real time, and cross-modal data are converted into feature vectors in a unified format for fusion by using a dynamic weight fusion algorithm. The problem that in a traditional analysis method, single-modal data information is limited is solved, and a cross-modal dynamic fusion formula is adopted.

The invention relates to a computer technology, discloses a marine monitoring data real-time processing method and system based on edge computing, and solves the problems that an existing marine monitoring system is insufficient in real-time performance, too heavy in communication load, poor in toughness and limited in expansibility. According to the invention, data processing, analysis and decision making are deployed in the edge intelligent unit, original data are collected and preprocessed through the edge monitoring unit, and real-time analysis and local response are carried out; selective communication with a cloud platform is carried out, and global decision and model optimization deployment are carried out by cloud aggregation data. According to the scheme, the real-time response can be improved, the communication load can be reduced, the system toughness can be enhanced, the processing efficiency and energy can be optimized, and the monitoring precision and expandability can be improved.

The invention relates to the technical field of computers, and discloses a quality traceability method and system for an electronic device, and the method comprises the steps: collecting and preprocessing the data of each production link in real time; fusing and constructing a digital twinborn model; analyzing quality risks and abnormities by using deep learning; a non-tampering traceability chain is constructed through a block chain technology; and real-time monitoring and early warning are provided. The system comprises a data acquisition module, an edge module, a central platform module, a deep learning analysis module, a block chain traceability module and a visual early warning module. According to the scheme, closed-loop acquisition and intelligent analysis of data in the whole production link are realized, the authenticity of traceability data is ensured, and the quality management and traceability capabilities are improved.

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 discloses an academic group mining and directional recommendation system for regional natural fund, and relates to the technical field of computers. The academic group mining and directional recommendation system for the regional natural fund comprises a data management system, a knowledge graph module, a mixed recommendation algorithm module, an AI robot module and a user interaction interface module, and a multi-dimensional heterogeneous relation graph, an innovative cold start solution and a lightweight graph recommendation framework are constructed. Accurate mining, intelligent recommendation and efficient management of scientific researchers and projects are realized. According to the method, potential interests and cross-domain association requirements of users can be deeply captured, the problem of data sparsity in a cold start stage is effectively solved, and rapid deployment and real-time recommendation are realized through lightweight design. And powerful technical support and decision basis are provided for reasonable distribution and scientific research and innovation of regional natural funds.

The invention relates to the technical field of computers, and discloses a proxy gateway scheduling method and device, a storage medium and computer equipment, and the method comprises the steps: receiving and analyzing a user request, determining a target processing demand, and determining a plurality of candidate service nodes meeting the target processing demand from schedulable service nodes; obtaining a first geographic position of the user and a second geographic position of each candidate service node, and calculating a target distance between the user and each candidate service node based on the first geographic position and the second geographic position; obtaining a network delay rate, node load data and node service quality data of each candidate service node, and calculating a comprehensive score of the candidate service node based on the target distance, the network delay rate, the node load data and the node service quality data; and determining a target service node from the plurality of candidate service nodes according to the comprehensive score, and scheduling the request to the target service node. The method can be applied to the fields of financial science and technology and medical health.

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 provides an event-driven sparse attention optimization method and system based on a brain-like computing chip, and belongs to the technical field of computers.The method comprises the steps that semantic analysis and feature extraction are conducted on input data and text information, and an input event sequence and a text event sequence are generated; calculating semantic relevancy between the input event sequence and the text event sequence, and generating an event importance evaluation matrix; calculating a sparseness parameter based on the complexity of the input data and the load of a brain-like calculation chip calculation node, and strengthening the sparseness parameter to obtain a target sparseness parameter; based on the target sparseness parameter and the event importance evaluation matrix, generating a sparse attention mask matrix; a sparse attention calculation task based on the sparse attention mask matrix is allocated to calculation nodes of the brain-like calculation chip for execution; and the output results of the calculation nodes are fused to generate a target output result. According to the invention, the accuracy and efficiency of the query result are improved.

The invention relates to the technical field of computers, in particular to a source code hierarchical positioning method, electronic equipment and a medium. Determining a target hierarchy corresponding to a target code line, a code range corresponding to the target hierarchy and code ranges of all target sub-hierarchies based on the code line hierarchical structure information of the code file; and displaying the code lines belonging to the target hierarchy, the code range corresponding to the target hierarchy and the code range of the target sub-hierarchy in the code lines in the visual range by adopting different display identifiers. According to the invention, code levels concerned by a user can be quickly and accurately positioned.

The embodiment of the invention provides a program testing method and system, electronic equipment, a storage medium and a program product. Relates to the technical field of computers. The method comprises the following steps: receiving a plurality of test tasks from a client; determining a target test end based on the first configuration information; determining task information based on the first configuration information and the second configuration information; based on the task information and the current page screenshot, generating a test instruction through a target agent corresponding to the target test end; issuing a test instruction through the target agent, and receiving a page screenshot returned by the target test end in response to the test instruction; taking the page screenshot corresponding to the test instruction as the current page screenshot, returning to the step of generating the test instruction, and performing loop execution until it is judged that the test of the test case is completed; and aggregating the test results corresponding to the test ends to generate a multi-end test result corresponding to the test case. The technical problem that the program testing efficiency of different end-side technical stacks is not ideal in the prior art is solved.

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 starting method for a pre-starting execution environment, computer equipment and a related product, and relates to the technical field of computers, the method comprises the following steps: when a first network driver triggers a target unloading process due to loading of a second network driver and the first network driver has sent a network release message in the target unloading process, starting the target unloading process; monitoring an overtime event and a network reply message event of the monitoring timer; when the timeout event is monitored and the network reply message event is not monitored, triggering the first network driver to resend the network release message; and when the retransmission times exceed a preset retransmission threshold value, forcibly terminating the target event polling operation, and transferring the network control right from the first network driver to the second network driver, so that the second network driver takes over and continues to execute the starting process based on the own network protocol stack. The technical problem of deadlock in the starting process of the pre-starting execution environment in related technologies is solved, and the technical effect of improving the starting reliability of the pre-starting execution environment is achieved.

The invention is suitable for the technical field of computers, and provides a containerized multi-copy deployment management method and device, terminal equipment and a storage medium, and the method comprises the steps that after a container copy is started, state information of the container copy is periodically updated to a real-time state list, and the state information comprises an IP address and a node health level; reading state information of other container copies in the real-time state list; dynamically electing a master container copy according to a preset master-slave election rule based on the IP address and the node health level in the real-time state list; when it is detected that the current main container copy is abnormal, an automatic switching process is triggered, and the main container copy is elected again. According to the method and the device, the efficiency and the reliability of copy management in a containerized multi-copy deployment scene can be improved, so that the service continuity and the data consistency are guaranteed.

The invention discloses an unmanned aerial vehicle radio frequency fingerprint identification method and device, a medium and equipment, and relates to the technical field of computers. According to a time-frequency graph corresponding to a radio frequency signal, time domain convolution is carried out by sliding along a time axis of the time-frequency graph, time domain features of the time-frequency graph are extracted, frequency domain convolution is carried out by sliding along a frequency axis of the time-frequency graph, frequency domain features of the time-frequency graph are extracted, and heterogeneous combined convolution kernels with different sizes are adopted in the time domain convolution and the frequency domain convolution, so that the time-frequency graph is more accurate. Therefore, time-frequency anisotropic convolution is realized, and short-time dynamic evolution and local energy distribution characteristics are respectively captured. According to the method, the uniform operation defect of traditional isotropic convolution is avoided, parameter redundancy is reduced and feature discrimination is enhanced through physically interpretable dimension decoupling, and the accuracy of radio frequency fingerprint identification of the unmanned aerial vehicle is improved.

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 relates to a retrieval routing optimization method and device based on a distributed retrieval system, and relates to the field of computer technology distributed retrieval, the method comprises the following steps: obtaining inverted metadata of a document, including routing information, fragmentation information and a document storage identifier, judging whether the document is a new document, and combining the resource state and availability of each node to optimize the retrieval routing optimization of the document. And determining an optimal routing path by adopting an optimal execution fragmentation formula. A retrieval request is split into a plurality of sub-requests and is directionally issued to a target fragment, and the coordination node integrates return results of the fragments and then returns the return results to the client. The device comprises an information integration module, an inverted metadata recorder and a retrieval routing control module, and supports a dynamic configuration routing strategy, a document state refreshing mechanism and performance monitoring parameters. By introducing the document state identifier, the dynamic routing algorithm and the node resource monitoring mechanism, accurate routing and efficient processing of the retrieval request are realized, so that the retrieval performance and the resource utilization rate of the system are improved.

The invention provides a bus interconnection system, a signal processing method and a server, and relates to the technical field of computers. In the bus interconnection system, the port of the bus switch can be expanded by using the channel aggregation module on the premise of ensuring that the interconnection topology is formed between the processor and the peripheral equipment, the interconnection topology is formed between the peripheral equipment, and the communication connection can be established between the processor and the peripheral equipment, and the communication connection can be established between the peripheral equipment; and the number of peripheral equipment which can be accessed to the bus switch can be effectively expanded. Therefore, a plurality of bus switches can be prevented from being mutually connected to form the interconnection topological structure, the interconnection topological structure can be simplified, the system complexity can be reduced, and the port utilization rate of the bus switches can be improved.

The invention discloses a mapping knowledge domain embedding method fusing meta-information and logic rules, and relates to the technical field of computers. The method comprises the following steps: inputting a to-be-predicted knowledge graph into a knowledge graph embedding module; in the multi-granularity meta-information embedding module, for each entity to be predicted in the knowledge graph to be predicted, obtaining ontology information embedding and multi-hop neighbor relation embedding of the entity to be predicted; carrying out average pooling processing on each of the multi-hop neighbor relation embedding, and processing the neighbor relation embedding after the average pooling processing through a multi-layer perceptron and learnable parameters to obtain a hierarchical attention weight of each neighbor relation embedding; each multi-hop neighbor relation embedding comprises a plurality of neighbors; and performing weighted summation on the ontology information embedding and the multi-hop neighbor relation embedding based on the hierarchical attention weight to obtain meta-information embedding of a to-be-predicted entity in the to-be-predicted knowledge graph. According to the method, the determination precision of the meta-information embedding of the entity can be improved.

The invention relates to the technical field of computers, and discloses a learning difficulty intelligent adjusting device and method, and the method comprises the steps: extracting key knowledge elements from pre-obtained user learning data, and constructing a learning graph; according to the learning map, analyzing the knowledge mastering degree and the learning ability of the user to obtain a user ability evaluation result; generating corresponding learning content in combination with the user capability evaluation result and the node association relationship in the learning map; in the learning process of the user, the updating condition of the knowledge elements and the change condition of the learning ability of the user are analyzed, and the learning graph is dynamically updated to obtain an updated learning graph; according to the updated learning map, the difficulty of the learning content is adjusted in real time, updated learning content is obtained, and intelligent adjustment of the learning difficulty is achieved; the learning content difficulty is intelligently adjusted, the requirements of different users in different learning stages are met, and the learning effect and the knowledge mastering degree are effectively improved.

The invention is suitable for the technical field of computers, and provides a game churn user recall method, which comprises the following steps: analyzing a behavior sequence mode before user churn, and determining a churn type of a churn user in combination with game event data before user churn; based on the churn type, making a personalized touch strategy for the churn user for sending periodic touch content to the churn user; whether the lost user triggers the in-game backflow activity or not is judged, a personalized backflow gift bag is configured for the backflow user, the recall efficiency and effect of the lost user can be improved, and powerful technical support is provided for long-line operation of the game.