115 results about "Validity checking" patented technology

The invention relates to the technical field of operation and maintenance automation, and provides an operation and maintenance field professional question and answer and diagnosis Agent design method and system, and the method comprises the steps: receiving and structurally analyzing an original query request of a user, carrying out the parameter validity check and safety verification, and extracting the query content and a session identifier; identifying task types through an intention classification algorithm based on the pre-training language model and performing content risk assessment; performing semantic extension on the query to generate an extended query word, performing similarity matching in the operation and maintenance knowledge base by using a hybrid retrieval algorithm, and fusing related knowledge fragments; inputting the enhanced query information and the task type into an inference engine for intelligent inference to obtain a diagnosis result; the reasoning result is stored in a historical memory library, and session context state information is updated; and performing formatting processing and security check on the reasoning result, packaging the result and context information, and outputting a standard response result. According to the method, the accuracy and the intelligent level of operation and maintenance professional question answering and diagnosis are improved.

The invention discloses an element extraction and generation method for a legal instrument, and relates to the technical field of artificial intelligence, and the key points of the technical scheme comprise the following steps: constructing a multi-dimensional element analysis model based on legal instrument judgment rule data and element validity verification data, performing hierarchical analysis on the fact affirmation content, the legal reasoning content and the text content of the current legal document to be processed through the analysis model to obtain an initial element extraction result; acquiring a general element feature library of similar current to-be-processed legal instruments in the same legal field to obtain a reference element feature set, and obtaining exclusive element demand features in combination with the cause type of the current to-be-processed legal instruments; the method has the effects of focusing on individual requirements of an individual case, not only avoiding extraction deviation caused by separation from industry conventions, but also accurately matching unique element requirements of different causes, and greatly improving the pertinence and practicability of element extraction.

The invention discloses a simulation experiment design method and system based on a DeepSeek large model. The method comprises the following steps: receiving simulation task definition and related knowledge input by a user; according to the simulation task definition, calling a DeepSeek large model, and generating a preliminary simulation experiment design scheme; performing statistical validity check and feasibility constraint check on the preliminary simulation experiment design scheme to generate a verification report; based on the verification report, enabling a user to consult, understand and modify the preliminary simulation experiment design scheme through man-machine interaction to obtain a confirmed simulation experiment design scheme; calling a DeepSeek large model, and converting the simulation experiment design scheme into a structured design scheme; and outputting the structured design scheme. According to the method, knowledge-intensive tasks in the whole simulation experiment design process can be intelligently assisted and even automatically completed, the design efficiency is remarkably improved, dependence on artificial experts is reduced, the method is effective and reliable in statistics, and invalid experiments and resource waste are avoided.

Arrangements for a generative operation prewarning beacon service are provided. A series of performance indexes may be monitored. One or more trends may be determined from the series of performance indexes. A first prewarning vector may be generated based on the determined one or more trends. Trending operations associated with the one or more trends may be stored in a data store. A validity check may be performed on content information communicated between upstream and downstream services. A second prewarning vector may be generated based on a result of the validity check. The first prewarning vector and the second prewarning vector may be transmitted to an anomaly aggregator. The anomaly aggregator may consolidate at least the first prewarning vector and the second prewarning vector into a unified record of operation prewarning vectors. An operation prewarning report may be generated before an actual alert is triggered.

The invention provides a method and device for acquiring OG data of multiple social media platforms through links, and belongs to the technical field of data acquisition and processing. The method comprises the following steps: acquiring URL links from a plurality of social media platforms and common webpages as source data, wherein the source data correspond to webpage OG data lt; carrying out metagt; the label form is embedded into the lt of the HTML; carrying out headt; a label; performing validity check and standardization on the URL link, capturing webpage content by using an asynchronous HTTP (Hyper Text Transport Protocol) request library, and loading a complete HTML (Hyper Text Markup Language) on a dynamic webpage through a headless browser; the HTML positioning result is analyzed; carrying out metagt; tag: extracting an OG standard field and a platform extension field, and deducing a missing field from other HTML tags; mapping each platform OG field into a unified standard field; and outputting the OG data containing fields such as title and the like through the standardized API interface. According to the method, the multi-platform OG data acquisition efficiency, accuracy and safety are improved, good expansibility is achieved, and the cross-platform data integration requirement is met.

A commander substation for a serial bus system and a method for communication in a serial bus system are provided. The commander substation has a frame validity check block for checking whether a frame corresponding to a received signal is equal to a predetermined frame and thus error-free and therefore valid. The frame validity check block is configured to perform a first check to determine whether the frame corresponding to the received signal is valid if the bit time of the first communication phase of the predetermined frame has a predetermined value corresponding to a bit rate that is equal to or less than a predetermined bit rate. The frame validity check block is configured to perform a second check to determine whether the frame corresponding to the received signal is valid.if the bit time of the first communication phase of the predetermined frame has a predetermined value corresponding to a bit rate that is greater than the predetermined bit rate, and where the first check and the second check are at least partially different.

The application discloses a kind of sampling data validity checking methods under the double CPU architecture of relay protection, comprising: protection device detects and judges whether sampling value is established, judges to be established with the same phase sampling value as synchronous reference quantity and carries out forward zero-crossing protection sampling adjustment, synchronously double CPU sampling;The deviation of the sampling value of double CPU is compared to judge whether double CPU sampling is inconsistent, if it is judged that it is inconsistent, then protection device sends corresponding alarm information and locks corresponding protection element.The application can adjust the sampling period according to the sampling value of CPU, ensure that double CPU is in consistent sampling beat, realize the effectiveness check of sampling data by the method of double CPU information sharing in the protection application level, solve the problem of isolated sampling data of double CPU, improve the stability of protection device, and have good application prospect.

The invention discloses a tetrahedral mesh simplification method based on a graph neural network, and the method is characterized in that feature extraction is carried out on each mesh edge of each tetrahedral mesh unit in a tetrahedral mesh model, and the deletion probability of each mesh edge is predicted to determine a to-be-deleted mesh edge; performing deletion validity check on the to-be-deleted grid edges to obtain a to-be-deleted grid edge set; and finally, deleting the to-be-deleted grid edge set in batches until the to-be-deleted grid edge set is empty, and outputting a simplified tetrahedral grid model. The method has the advantages that feature extraction is carried out on the grid edges from multiple dimensions such as geometry, topology, quality, physics and space, the relation between the grid edge structure and simulation analysis precision can be automatically learned by introducing the graph neural network technology, the influence of the to-be-deleted grid edges on the overall grid analysis precision is predicted, and the accuracy of the whole grid analysis precision is improved. And intelligent grid simplification with analysis precision as a guide is realized.

This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer storage media, for operating a user equipment (UE) in a next generation (NG) radio access network (RAN) (NG-RAN) to validate a system information block (SIB) for non-public networks (NPNs). In one aspect, a UE receiving a SIB-one (SIB1) from a cell of the NG-RAN may determine whether the cell supports non-public networks (NPNs) based on the received SIB1. If so case, the UE may determine whether an NPN-identifier (NPN-ID) in the received SIB1 matches an NPN-ID of a SIB stored in memory. If so, the UE may validate the stored SIB based at least in part on the received SIB1. If not, the UE may invalidate the stored SIB and obtain a new SIB per standard procedures.

The invention discloses a signal delay estimation method based on block processing. The signal delay estimation method comprises the following steps: acquiring CSI (Channel State Information) data and pre-processing (validity check, noise filtering and effective index selection); blocking according to a preset block number and an overlapping proportion to obtain overlapped data blocks; a Hankel matrix and an enhancement matrix are established for each block, and a delay estimation value is obtained through singular value decomposition, subspace separation and characteristic polynomial solution; distributing weights for each estimated value in combination with signal quality evaluation; and determining a final result based on the delay estimation value and the weight information. According to the method, the large matrix is disassembled through block overlapping, the singular value decomposition complexity and storage occupation are reduced, and lightweight hardware is adapted; processing time consumption is shortened, multi-scene real-time requirements are met, the method can be operated on common equipment, and positioning deviation caused by delay is avoided.

The invention discloses a network topology reconstruction-based adaptive sampling method for a CAE (Computer Aided Engineering) agent model of a numerical control machine tool, and relates to the research field of sampling methods for agent models in multi-dimensional complex scenes such as the numerical control machine tool. S12, a sample point preprocessing and validity checking stage; s2, a network topology construction stage; s23, a network topology validity verification and weight normalization stage; s3, a topology reconstruction stage; and S4, a dynamic optimization stage. According to the network topology reconstruction-based adaptive sampling method for the CAE agent model of the numerically-controlled machine tool, a sampling process is converted into a dynamic network reconstruction process, power-law distribution, small-world effect and scale invariance characteristics in a complex network theory are fused, system key information is captured by using a network topology structure, and global search capability of a simulated annealing algorithm is combined, so that the network topology reconstruction-based adaptive sampling method for the CAE agent model of the numerically-controlled machine tool is realized. The adaptive optimization distribution of sampling points is realized, the coverage rate and representativeness of samples to different working condition characteristics are improved, and high-quality training data are provided for a numerical control machine tool CAE agent model.

This invention discloses a method for porting a digital signal processor (DSP) assembler based on a processor architecture description, comprising the following steps: S1. Based on the processor architecture description, a lexical analysis and syntax analysis part of the assembler is constructed to realize the parsing of special assembly instructions; S2. Taking the parsed instruction data or instruction binary code as input, dynamic encoding and decoding of instructions are implemented according to the instruction definition, thereby realizing the conversion between the object file and the assembly file. This DSP assembler porting method further improves the performance of the assembler and automates the porting process, adapting it to the digital signal processor architecture. It also provides support for single instruction multiple data, very long instruction words, and instruction validity checks. While ensuring that the program execution result meets expectations, it greatly reduces the number of clock cycles required for execution, possesses universality, and meets the needs of rapid processor architecture updates.

This invention discloses a method for constructing a power grid knowledge graph by integrating a hybrid expert network model and semantic segmentation. The method includes: Step 1, semantically segmenting power documents and setting overlapping regions between adjacent document blocks to obtain multiple document blocks; Step 2, inputting the document blocks into a hybrid expert network model, which extracts entity-relation-entity triple sets, omitting the secondary verification step; Step 3, before vectorizing and embedding the triple sets, performing type validity checks on the power grid graph based on the constraint rules, filtering out triples containing invalid entities, and vectorizing and embedding the remaining triple sets to construct the knowledge graph. This invention, through the synergy of semantically perceptual segmentation, a hybrid expert network model, and verification filtering, solves the problems of slow generation speed and inaccurate content understanding in existing technologies, significantly improving the efficiency and quality of power grid knowledge graph construction and reducing resource costs.

The application relates to the technical field of network card configuration, and discloses a PCIe reset linkage network card configuration method and device, wherein the method comprises the following steps: listening to change events of a plurality of configuration items, and writing the first configuration state of the configuration item which is changed into a special snapshot storage partition; monitoring a PCIe bus hardware reset signal in real time, and within a hardware time sequence window before a network card chip enters a reset state, forcibly writing full-amount configuration states of the plurality of configuration items into the special snapshot storage partition; after the network card chip completes PCIe reset, reading snapshot data packets and performing validity checking, loading the snapshot data packets which pass the checking into an on-chip SRAM; and respectively performing configuration recovery on each functional module in the network card, and the total time length of the configuration recovery does not exceed a preset time length, so that the technical problems that configuration saving depends on a host operating system and a drive and configuration is completely lost in an uncontrollable reset scene in the prior art are solved.

The invention discloses an external open interface management method and device, a storage medium and a computer program product, and relates to the technical field of distributed management, and the method comprises the steps: obtaining an external access request through a unified request entrance; performing multi-dimensional validity check on the external access request; if the multi-dimensional validity check is passed, performing automatic authentication on the external access request, and obtaining authentication information based on the automatic authentication; and superposing the authentication information to the external access request to obtain a legal access request, and forwarding the legal access request to a corresponding target service in a routing manner. Through unified request admission, multi-dimensional validity check, automatic authentication and forwarding processing, refined and unified management of the external open interface is realized.

This invention relates to the field of thermal management for new energy vehicles, specifically to an environmental temperature estimation system and method for range-extended electric commercial vehicles. The system acquires the current temperature values ​​of multiple available temperature sources for the entire vehicle in real time. Based on the current operating status of the vehicle, it dynamically assesses and filters the availability of each available temperature source. From the available temperature sources, it selects one or more temperature sources with high thermal inertia, no active heat source, or minimal thermal impact to form a candidate temperature set, and then performs a minimum value selection process, using the minimum value as the preliminary environmental temperature estimate. The preliminary environmental temperature estimate undergoes a rate of change rationality check and smoothing filter, outputting the final environmental temperature estimate. From the vehicle's existing temperature sensor network, it dynamically selects the signal closest to the actual environmental temperature as the estimation source, performs validity checks and data fusion, and finally outputs a reliable environmental temperature estimate, thereby completely replacing dedicated environmental temperature sensors and achieving hardware cost reduction.

The invention discloses a terminal certificate state abnormity monitoring method and device based on flow analysis, electronic equipment and a storage medium, and belongs to the field of network security monitoring, and the method comprises the steps: obtaining a certificate load message and current system time sent by a network access terminal in a key exchange process; analyzing the message to obtain a certificate public key, certificate deadline and a device unique identifier, and calling a historical fingerprint sequence from a local database according to the device unique identifier; performing hash processing on the certificate public key to generate a current public key fingerprint, comparing the current public key fingerprint with a historical fingerprint sequence, and calculating a difference value between certificate deadline and current system time to complete timeliness verification; and integrating the certificate state verification result and the certificate timeliness verification result, determining the current security state of the network access terminal, and generating a state monitoring report. According to the invention, the problem that the terminal certificate historical consistency abnormity cannot be identified in the prior art can be solved.

The invention discloses a method and related device for using an SM4-CTR mode during network transmission, and the method comprises the steps: generating a counter block, and carrying out the legality check of the counter block; when the counter block is checked to be legal, encrypting data according to a CTR mode of SM4 by using a secret key and the counter block to obtain ciphertext data; constructing a complete data packet according to the ciphertext data; sending the complete data packet through a sending end; and receiving the complete data packet through a receiving end, analyzing the complete data packet to obtain a counter block and ciphertext data, and analyzing the ciphertext data by using the counter block to obtain plaintext data. The method and the related device can improve the stability, the overall efficiency and the security of the system.

The invention discloses a class model inspection method, electronic equipment, a storage medium and a product. The method comprises the steps of obtaining context information of a target micro-service application in response to a class model check request from a client; performing class model compliance check based on the context information to generate a corresponding error check result; wherein the class model compliance check comprises at least one of the following items: class member reference validity check, interface and abstract method implementation integrity check, technical suite compatibility check, class name uniqueness check and request path uniqueness check; sending an error checking result to the client for visual display; receiving a correction instruction from the client; the correction instruction is associated with a target error item in the error checking result; and executing a response operation corresponding to the correction instruction. According to the scheme, the multi-dimensional compliance check is executed based on the micro-service context, and the class model design quality and efficiency are improved through visual interaction and intelligent response.

The invention relates to an oxygen flow monitoring system and method based on intelligent control, and relates to the technical field of intelligent sensing, and the method comprises the steps that infrared sensing data are collected through an improved float-type flowmeter, the improved float-type flowmeter comprises multiple pairs of infrared geminate transistors arranged at different heights, and the infrared geminate transistors are connected with the infrared geminate transistors; the plurality of pairs of infrared geminate transistors are used for sensing the position of the floater, and the infrared sensing data comprise voltage signals output by the plurality of pairs of infrared geminate transistors at a plurality of time points; verifying the validity of the infrared induction data; after validity verification is passed, based on the infrared induction data, an infrared geminate transistor corresponding to the maximum diameter position of the floater is determined; acquiring environmental influence data; the oxygen flow is determined based on the environmental influence data and the voltage signals output by the infrared geminate transistors corresponding to the maximum diameter position of the floater at the multiple time points, and the automatic monitoring of the oxygen flow is achieved.

Techniques are described for optimizing reconciliation between cloud networks. In some examples, a data platform may store a local copy of data, in which a remote cloud service stores a source copy of the data. The data platform may initiate a resynchronization of the local copy with the source copy stored by the remote cloud service and obtain an indication the resynchronization is incomplete. The data platform may determine if a first subset of the data satisfies one or more validity checks and determine if a second subset of the data is out-of-sync with the source copy of the data at the remote cloud service based on the one or more validity checks. According to at least one example, The data platform initiates a full download of the second subset of the data to the storage system of the data platform from the remote cloud service.

The application discloses a hexahedral mesh intelligent simplification method with analysis precision ensured, and belongs to the technical field of hexahedral mesh simplification, and comprises the following steps: step one, feature extraction is performed on layers and columns of the hexahedral mesh, including geometric features, topological features, quality features and physical features; step two, effectiveness checking is performed on the layers and columns; step three, based on the constructed simplification neural network HSimNet, the deletion probability of layers / columns that can be deleted is predicted; and step four, layer / column deletion operation is performed. In the application, the physical features of layers and columns are introduced in the hexahedral mesh simplification for the first time, the model simplification is connected with the physical problem, the geometric features are introduced in the hexahedral mesh simplification, the layer and column structures that cause invalid grid geometry are predicted, so that the geometric effectiveness of the simplified grid is ensured; the topological features and the quality features are introduced in the hexahedral mesh simplification, so that the overall quality of the simplified grid is ensured.

Processing circuitry 16 performs a stack pointer switch validity checking operation associated with a switch of the stack pointer from an outgoing stack pointer value to an incoming stack pointer value. The validity checking operation comprises verifying whether an incoming data value obtained by memory access circuitry 26 in response to a memory access request specifying an address determined based on the incoming stack pointer value meets at least one stack cap value validity condition, including a condition that a predetermined portion of the incoming data value corresponds to a given page address indicative of a page of address space comprising the address determined based on the incoming stack pointer value. The at least one stack cap value validity condition is determined independent of whether a further portion of the incoming data value other than the predetermined portion corresponds to sub-page address bits of the address determined based on the incoming stack pointer value. An error handling response is triggered in response to determining that the incoming data value fails to meet the at least one stack cap value validity condition.

The invention discloses an LLM-based fuzzy test initial seed generation method and system, a computer and a storage medium. Lightweight static analysis is performed on target software source codes, an expansion function call graph is constructed, two key features of hard coding constraint and security sensitive operation are extracted, and explicit tags are injected in situ into the source codes; a semantic aggregation strategy based on a recursive sub-function abstract is adopted, the sub-function source code injected with the label is converted into a semantic abstract from bottom to top through a large language model, and a global semantic abstract retaining key constraint information is generated through hierarchical cue word construction; constructing a seed generation task containing a thinking chain guide instruction, forcing the model to perform reasoning according to logic steps of constraint solution, abnormal construction and enhanced generation, and generating a targeted initial input sample (namely, an initial seed) for fuzzy testing; and performing static validity check on the grammar by utilizing a general format analyzer, and performing fault-tolerant processing by combining a multi-stage backspacing mechanism. Through the recursive abstract aggregation and thinking chain reasoning technology, deep semantic understanding of complex code logic and automatic generation of high-coverage-rate test cases are achieved.

A wireless device triggers a conditional layer-1 / layer-2 triggered mobility (LTM) cell switch to a candidate cell based on an execution condition being satisfied. The wireless device transmits, within an LTM cell switch delay, an uplink transmission on the candidate cell. The LTM cell switch delay comprises a time for decoding and validity checking of a radio resource control (RRC) configuration of the candidate cell. The time for decoding and validity checking is equal to zero based on at least one of: receiving a transmission configuration indication (TCI) state activation command for the candidate cell at least a first time duration before the triggering the conditional LTM cell switch; or receiving a physical downlink control channel (PDCCH) order for the candidate cell at least a second time duration before the triggering the conditional LTM cell switch.

The application provides an elevator door health rating method based on working condition adaptive feature learning, and belongs to the technical field of elevator state monitoring and intelligent health evaluation. The method collects door stroke, door machine three-phase current and three-axis vibration data, performs data validity check, period division, signal noise reduction and multi-source alignment, and constructs a period-level multi-source sample; through sliding window aggregation, feature selection and redundancy removal, a working condition reference state library and a health grade anchor point are established; in the evaluation stage, working condition recognition and state diversion are completed, the relative performance of the working condition, the global performance across working conditions, the data quality confidence and the instantaneous abnormal intensity are comprehensively considered, a health grade evaluation result is generated, and an abnormal event, a result confidence and a recommended treatment basis are output. The application can improve the stability, explainability and engineering applicability of the elevator door health rating under complex working conditions.

A commander subscriber station for a serial bus system and a method for communication in a serial bus system are provided. The commander subscriber station has a frame validity check block for checking whether a frame corresponding to a received signal is equal to a predetermined frame and is thus error-free and therefore valid. The frame validity check block is designed to carry out a first check as to whether the frame corresponding to the received signal is valid, if the bit time of the first communication phase of the predetermined frame has a predetermined value corresponding to a bit rate which is equal or less than a predetermined bit rate, and the frame validity check block is configured to carry out a second check as to whether the frame corresponding to the received signal is valid, if the bit time of the first communication phase of the predetermined frame has a predetermined value corresponding to a bit rate which is greater than the predetermined bit rate, the first check and the second check being at least partially different.

The embodiment of the invention provides a bank card information processing method, electronic equipment, a storage medium and a program product. The method comprises the following steps: receiving image information of a to-be-identified bank card input by a user; according to the image information, extracting image features and text features through a pre-trained multi-modal large model, and according to the image features and the text features, obtaining card surface identification information; if the card surface identification information passes the verification of the validity verification rule, obtaining the opening bank information of the to-be-identified bank card by adopting a pre-trained large language model according to the card surface identification information; and sending the card surface identification information and the opening bank information corresponding to the to-be-identified bank card to the human-computer interaction interface, and performing visual display through the human-computer interaction interface. Through cooperation of image information multi-modal extraction, multi-modal fusion, rule verification and semantic processing, automation of the whole bank card recognition process is achieved, and the recognition efficiency and accuracy under complex scenes such as cross-bank and cross-card-type scenes are improved.

The invention provides a fault diagnosis method and system for an auxiliary driving system, and the method comprises the steps: firstly collecting signals of external sensors, such as a camera, a millimeter wave radar, an ultrasonic radar, and the like, and operation signals of an ECU of a whole vehicle, such as an instrument, a braking system, a driving system, and the like, and completing the communication validity verification through CRC, RC and Timeout mechanisms; and all input data are cached in a sliding window mode. And then constructing a sub-fault event set containing a communication event, an external ECU event and an internal software and hardware event, and performing event judgment through a time window jitter elimination mechanism. And performing four-level fault grading on each sub-fault event by constructing an event, a function influence matrix and an influence intensity scoring model, and performing aggregation processing on multiple events to form a functional-level final fault level. According to the invention, refined identification, graded response and whole-process mark leaving of auxiliary driving faults can be realized, the fault positioning efficiency and the system safety are greatly improved, and cloud remote monitoring and operation and maintenance cooperation are supported.

The invention discloses a long message efficient processing method for CAN communication among multiple nodes in a resource-limited embedded equipment environment, and belongs to the technical field of embedded software development. According to the scheme, the efficient processing of the multi-node long message of the resource-limited embedded equipment is realized through the pre-allocation of the memory pool, the dual validity verification and the memory closed-loop management. The method comprises the following steps: initializing a CAN message node memory pool, a global CAN message node linked list and a global equipment head node linked list; establishing a CAN equipment message reading task which is used for reading a CAN message from a CAN driver, applying for a node from a message node memory pool, copying a CAN equipment ID and the CAN message into the node, and inserting a global CAN message node linked list; and obtaining a message through a CAN message reading task, inserting the message into a global linked list, matching a head node according to a device ID through a message processing task, verifying the head node, and returning data to a protocol processing task after verification is passed.