208 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 relates to the technical field of satellite navigation and positioning, and discloses a Beidou precise point positioning method based on double-frequency combination, which comprises the following steps of: firstly, acquiring an original observation file and various correction files of a double-frequency signal from an IGS official website; a clean observation value is obtained through the steps of data validity checking and data preprocessing; carrying out correction and correction to obtain an error correction value; establishing a Beidou dual-frequency ionospheric elimination combination model, and performing dual-frequency DCB correction on the combination observation value to obtain a corrected dual-frequency combination observation value; constructing a double-frequency ionosphere elimination observation equation, and performing coordinate solution by using Kalman filtering to obtain a positioning result of double-frequency combination; analyzing the positioning result of the double-frequency combination, counting the error value of the positioning result, and evaluating the positioning precision and the convergence time; according to the invention, when DCB correction is considered, a dual-frequency ionosphere-eliminating PPP positioning model is established by using a BDS signal, so that the positioning precision can be remarkably improved, and the convergence time can be shortened.

The embodiment of the invention provides a coding and decoding method and an end-cloud cooperation system. The coding and decoding method is realized based on the end-cloud collaborative system, and the total code rate of the end-cloud can be reduced under the condition of ensuring the end-side rendering picture. The encoding method comprises the steps that rendering processing is carried out on a three-dimensional scene to obtain a rendered image, a rendering intermediate result is generated in the rendering processing process, and the rendering intermediate result comprises a first rendering intermediate result. And performing target operation on the reconstructed image based on the first rendering intermediate result to generate a virtual reference block. And predicting the rendered image based on the virtual reference block to obtain a predicted image. And encoding a residual image between the predicted image and the rendered image to obtain a code stream. Wherein the target operation comprises at least one of reprojection, validity check, weighted averaging, hole filling or intra-frame noise reduction.

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 provides a passive Internet of Things terminal management method and device, a communication system and a storage medium. The passive Internet of Things terminal management method comprises the steps that in response to a registration request sent by a network open function network element, a service read-write device is selected, and the registration request comprises identification information and validity check demand information of a passive Internet of Things terminal; if the service read-write device comprises a terminal read-write device, generating a first timer corresponding to the passive Internet of Things terminal according to the validity check demand information; the identification information of the passive Internet of Things terminal is sent to a terminal read-write device, so that the terminal read-write device requests the passive Internet of Things terminal to execute access and registration; and in response to a first access and registration result of the passive Internet of Things terminal sent by the terminal read-write device, sending first report data to the unified data management function network element, the first report data comprising the first access and registration result, an identifier of the management function network element and first timer information corresponding to the first timer.

The invention provides an LLM-based multi-cloud storage intention decomposition optimization method, system and device, and belongs to the technical field of network communication and cloud computing. The method comprises the following steps: receiving fuzzy multi-cloud storage intention input of a user; performing semantic analysis on the user input, and extracting a parameter key value pair matched with the strategy tree model; carrying out information validity check on the extracted parameter key value pairs; the strategy tree model is filled with effective information, parameter integrity check is carried out, and if the information is incomplete, strategy tree parameters are supplemented through multiple rounds of dialogues; whether the filled strategy tree parameters need to be modified or not is confirmed to a user through the vertical LLM, if the user needs to modify the filled strategy tree parameters, parameter information is updated, and if the user confirms the information, follow-up operation is carried out; and generating an executable storage strategy according to the strategy tree model confirmed by the user. According to the method, the operation complexity of a user in a multi-cloud storage scene is reduced, and the accuracy, flexibility and reliability of storage strategy generation are improved.

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 limited autoregressive decoding method and system based on incremental analysis and a medium, and the method comprises the steps: for a given Text-to-SQL task, formatting and coding an input natural language query problem and a corresponding database mode; generating an SQL query by adopting a large language model; the score is adjusted according to the log-softmax score predicted by the model and the currently assumed token, and in the step of generating each token of the SQL, the candidate tokens are subjected to incremental analysis to check whether the candidate tokens conform to grammar and semantic rules of the SQL; performing validity check on the generated SQL query through different preset check models; and endowing negative infinity scores to the tokens which do not pass the check, excluding the negative infinity scores in beam search, and outputting, evaluating and optimizing the effective SQL query sequence which passes the check. The execution precision of the language model can be effectively improved.

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.

The invention discloses a method for realizing resource service based on OAuth2 and a gateway, and relates to the technical field of information systems. Comprising the steps of 1, creating a resource manager component on a resource server based on an OAuth 2.0 Resource Server component and creating an API gateway component on the basis of SpringCloud Gateway, and 2, receiving an access token carried by a client through the API gateway component, verifying the validity of the access token, checking the permission range of the access token passing verification, determining whether the client has the right to access corresponding resources or not, and if the client has the right to access corresponding resources, executing the step 3, and if the client has the right to access corresponding resources, executing the step 4. Step 3, receiving an access token carried by the client through the resource manager component, verifying the validity of the access token, checking the permission range of the access token passing the verification, determining whether the client has the right to access the corresponding resource or not, if yes, forwarding the request to the correct resource server, and enabling the request to access the resource server; and if the check is passed, providing the requested corresponding resources through the resource manager component.

The invention provides an RISC-V MCU system firmware upgrading method, which comprises the following steps that: an equipment end starts an upgrading service program USP, and enters background silent upgrading or foreground inductive upgrading; after the backup area is determined, the device end determines to enter background silent upgrade or foreground inductive upgrade according to the type of the received upgrade command; the host end transmits the firmware data packet to the equipment end; after the firmware data is received at the equipment end, integrity and validity check is carried out on the firmware through the USP; the USP link of the equipment end is ended, and whether the equipment is restarted or not is judged; after the equipment end is restarted, traversing partitions in the partition table by starting a loading program BL, analyzing effective firmware from the partitions, and performing integrity and validity check; and if the checking is passed, executing the upgraded new firmware. The method has the advantages of data integrity and security, version management and backspacing mechanism, high efficiency, modularization, open source, low cost and the like at the same time, and a reliable and efficient solution is provided for firmware upgrade of the RISC-V MCU system.

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 present invention relates to an FSK and LAN protocol conversion apparatus for a rail transit signal system, wherein the apparatus includes: a control instruction sending module (TC); a device state receiving module (TK); a data validity check module (VD) connected with the TC and the TK respectively; a first Ethernet redundant communication module (LAN A) connected with the VD; a second Ethernet redundant communication module (LAN B) connected with the VD; and a system configuration and maintenance module (MAN) connected with the above modules respectively. Compared with the prior art, the present invention has the advantage of implementing network access with a new ATS system of a control center on the basis of an original system, with minimized capital investment and maximized utilization of the existing station device.

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.

A circuit and corresponding method perform resource arbitration. The circuit comprises a pending arbiter (PA) that outputs a PA selection for accessing a resource. The PA selection is based on PA input. The PA input represents respective pending-state of requesters of the resource. The circuit further comprises a valid arbiter (VA) that outputs a VA selection for accessing the resource. The VA selection is based on VA input. The VA input represents respective valid-state of the requesters. The circuit performs a validity check on the PA selection output. The circuit outputs a final selection for accessing the resource by selecting, based on the validity check performed, the PA selection output or VA selection output. The circuit addresses arbitration fairness issues that may result when multiple requesters are arbitrating to be selected for access to a shared resource and such requesters require a credit (token) to be eligible for arbitration.

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.