174 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.

In various examples, one or more validity checks that model one or more aspects of human physiology may be applied to frames of detected human features to detect and respond to the presence of faults. Example validity checks include human feature constraints derived from the kinematics of human motion, anatomical and spatial constraints, consistency across detection modalities, and / or others. The present techniques may be utilized to validate human features detected by various computer vision tasks, such as those involving pose estimation, facial detection, gesture recognition, and / or activity monitoring, to name a few examples.

The invention discloses a customer information storage management method and system based on a block chain, and relates to the technical field of distributed data evidence storage, and the method comprises the steps: collecting terminal customer information, generating an encrypted data packet, carrying out erasure coding, and generating an encrypted data fragment set; carrying out distributed storage based on the encrypted data fragment set, and calculating a data availability commitment at the same time; executing availability sampling according to the data availability commitment, and generating a fragment validity proof; based on the fragment validity proof, performing format and validity verification to obtain a to-be-processed proof set; and generating a recursive aggregation proof according to the to-be-processed proof set, and submitting the recursive aggregation proof to the block chain to verify and update a proof storage state. And cryptographic authentication is carried out on the persistent evidence storage state of the data assets, so that the dual beneficial effects of ensuring data privacy and credible evidence storage are achieved.

The invention discloses a hexahedral mesh intelligent simplification method with guaranteed analysis precision, and belongs to the technical field of hexahedral mesh simplification, and the method comprises the following steps: 1, carrying out the feature extraction of layers and columns of a hexahedral mesh, including geometric features, topological features, quality features and physical features; step 2, carrying out validity check on the layers and the columns; 3, predicting the deletion probability of a deletable layer / column based on the constructed simplified neural network HSimNet; and step 4, executing layer / column deletion operation. According to the method, physical characteristics of layers and columns are introduced into hexahedral mesh simplification for the first time, model simplification is associated with physical problems, geometric characteristics are introduced into hexahedral mesh simplification, and layer and column structures causing geometric ineffectiveness of the mesh are pre-judged, so that geometric effectiveness of the simplified mesh is guaranteed; topological features and quality features are introduced into hexahedral mesh simplification, so that the overall quality of the simplified mesh is ensured.

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.

One or more validity checks that model one or more aspects of human physiology may be applied to frames of detected human features to detect and respond to the presence of faults. Example validity checks include human feature constraints derived from the kinematics of human motion, anatomical and spatial constraints, consistency across detection modalities, and / or others. The present techniques may be utilized to validate human features detected by various computer vision tasks, such as those involving pose estimation, facial detection, gesture recognition, and / or activity monitoring, to name a few examples. In an example embodiment involving the use of a DMS to control the activation, operation, and / or deactivation of autonomous driving the validity checks may be performed on ASIL-rated hardware, enabling one or more components of the DMS pipeline to run on hardware that need not be ASIL-rated, obviating the need for at least some built-in hardware tests and / or continuous monitoring.

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 transformer substation background data validity test method. The method comprises the following steps: firstly, acquiring model data, establishing a measuring point index and replacing an enabling index through a first terminal, namely a point detector, at the front end, pulling a database file and a picture file through a second terminal, namely a monitoring background, analyzing the database file and the picture file, and verifying the consistency of the model, so as to confirm the data consistency condition and the enabling attribute condition; substation background data validity checking is completed by replacing data checking of files and data messages, so that the automation level of the checking process is improved, and then the efficiency and validity of substation database data checking are improved; and the corresponding file retaining report is generated in the inspection process, and the inspection process of monitoring the data validity in real time can be realized, so that the timeliness of the substation background data validity inspection is improved.

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.

The invention discloses a cold-chain logistics remote monitoring system and method based on the Internet of Things. The system comprises a sensing layer, an edge computing gateway and a cloud platform. The sensing layer is provided with a multi-dimensional sensor group which at least comprises a high-precision temperature and humidity sensor, a vibration sensor, an inclination sensor, a door magnetic sensor, an electronic lock and a position tracking module and is used for collecting environment, equipment and position information in real time. And the edge computing gateway performs format conversion, exception filtering and validity verification on the original data, and triggers a local response operation according to a preset rule. The preset rules comprise data verification, sensor diagnosis, threshold linkage, data supplementary transmission and a real-time response function. The cloud platform integrates early warning grading, closed-loop management, data storage and prediction analysis functions, and adjusts parameters or early warning risks in advance based on a modeling result. The system realizes intelligent monitoring and quick response of the whole process of the cold chain, and is suitable for the fields of food, biological agents, medicines and the like with strict temperature control requirements.

A communication method includes obtaining, from a second electronic device, an operation request comprising a temporary key and a control instruction; checking the temporary key; performing a time validity check based on a first valid time period, wherein the first valid time period corresponds to the temporary key and is stored in a security system of a vehicle; and operating, based on the control instruction, the vehicle when checking the temporary key and the time validity check have succeeded.

The invention provides a data synchronization and cache management method and system based on an offline priority architecture, a storage medium and electronic equipment, and the method comprises the steps: intercepting a network request and locally caching target data when the equipment is in an offline state; when the network connection of the equipment is recovered, data synchronization is automatically carried out on the locally cached target data and the server side; based on a version control mechanism, performing conflict detection and solution on a data synchronization process; after data synchronization is completed, periodically checking the validity of locally cached target data based on a cache management mechanism; and based on the update or expiration strategy, according to the validity check result, performing optimization processing on the target data. According to the method, data consistency and integrity are enhanced, data conflicts are automatically detected and solved, data loss or errors are avoided, user experience is improved, data management and storage are more efficient, and better compatibility and cross-platform support are achieved.

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.

The present invention provides a network control command processing method, device, and electronic device. The method first obtains a command description file, then performs a validity check on the target command based on the command description file. If the validity check passes, the target command is converted into a corresponding target northbound interface based on the command description file, and the target northbound interface is sent to a network controller for execution by the network controller. The present invention can alleviate problems existing in related technologies, such as the lack of support for network configuration commands, the lack of unified command standards, and the complexity of command configuration.

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 relates to the technical field of mechanical arm control, and discloses a motion planning method and system for a mechanical arm. The method comprises the following steps: firstly, constructing an initial scene in virtual software; determining motion information of an additional axis based on the initial scene; determining a collision body updating mechanism based on the motion information of the additional shaft; based on the collision body updating mechanism and the initial scene, model position information of all collision bodies is updated; and setting validity check of the motion planning based on the updating result, and obtaining a final planning path based on a check result. Therefore, by adopting a method of resetting the central point of the model and dynamically adding the joint motion information of the robot, the rapid deployment of the initial collision body environment of the robot under any additional axis scene can be realized, the position updating of the collision body model can be realized according to the given joint information, and the universal motion planning of the robot can be efficiently and rapidly carried out.

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 embodiment of the invention provides a transaction data verification method and device, a computer readable medium and electronic equipment, the method is executed by a target alliance chain node in an alliance chain network, the alliance chain network comprises a plurality of authorized alliance chain nodes, and the alliance chain nodes are used for verifying and executing a transaction. The method comprises: receiving a transaction request carrying transaction data from a client, the transaction data comprising a certificate index corresponding to a digital certificate of a requester of the transaction request, and the certificate index being used for uniquely identifying the digital certificate; obtaining a digital certificate corresponding to a certificate index in the transaction data from a certificate management center, wherein the certificate management center is used for correspondingly storing the certificate index and the digital certificate; and performing validity check on the digital certificate at least according to a pre-acquired root certificate so as to verify the transaction data. According to the embodiment of the invention, the utilization rate of the on-chain storage space can be improved, and the waste of the on-chain storage space is reduced.

Different implementations are described, particularly implementations for determining a set of predictor candidates for affine merge coding mode from neighboring blocks for motion compensation of a picture block based on a motion model. The motion model, may be, e.g., an affine model in a merge mode or AMVP mode for a video content encoder or decoder. The motion model, may be, e.g., an affine model based on top-left / top-right control point motion vectors or an affine model based on top-left / bottom-left control point motion vectors. Such affine model may be signaled by a flag. In an embodiment, predictor candidates are sorted in the set based on a criterion such as, e.g., a validity check or a vectors coherence cost. In an embodiment, a predictor candidate is selected from the set based on a motion model for each of the multiple predictor candidates, and may be based on a criterion such as, e.g., a rate distortion cost. The corresponding motion field is determined based on, e.g., one or more corresponding control point motion vectors for the block being encoded or decoded. The corresponding motion field of an embodiment identifies motion vectors used for prediction of sub-blocks of the block being encoded or decoded.