93 results about "Error location" patented technology

The invention relates to an intelligent error correction method and system based on a deep thinking dialogue large model, and the method comprises the steps: receiving a to-be-detected text, guiding a large language model to execute a content correction and verification task for the to-be-detected text through employing a pre-constructed multi-modular prompt instruction, and generating a preliminary processing result containing structured error information and correction suggestions; based on context information of a to-be-detected text, error positioning in the primary processing result is accurately calibrated, verification is carried out through three verification mechanisms of semantic verification, knowledge graph verification and historical verification, and a final processing result is generated and stored in a data storage unit; the final processing result is analyzed in real time in a data stream transmission mode, an analysis result is displayed on a user interface, and a corresponding position in the to-be-detected text is synchronously displayed in a highlight mode. According to the method, errors can be accurately positioned, model illusion is reduced, the correctness of terms and factual contents is ensured, and an efficient and reliable solution is provided for new media content auditing.

The embodiment of the invention discloses a method for intelligently assisting in reviewing a water conservation scheme of a water and soil conservation production and construction project, and the method achieves the intelligent feature matching of a new scheme and similar cases through the construction of a tagged knowledge base integrating historical cases of multiple industries, so as to recognize the generality compliance. A double-engine review mechanism is adopted, a form review module automatically checks document structure integrity and format specifications, and a logic review module executes cross-chapter data consistency check and business logic compliance analysis and highlights and positions error positions in a document. And recording decision logic in real time to form a feedback closed loop. And dynamically optimizing case library matching weight and recognition rules based on high-frequency error statistics and expert correction records. The modes of positioning review key points to chapters and sections, describing specific requirements of each review key point in a language, adding a check formula among data to review content needing to be calculated, determining a check type to which each review key point belongs, and the like are adopted, and the model is trained more clearly, so that the model has relatively professional review ability.

The invention provides an automatic workflow code generation method driven by a large model, which comprises the following steps: sequentially converting an original demand into a subtask set, a node relation graph and structured workflow description data through multi-stage agent cooperation, and forcibly checking a data closed loop between nodes by the last-stage agent; tool nodes and content generation nodes are defined in the workflow description data, and decoupling of content generation and tool calling is achieved; analyzing the structured workflow description data, dynamically generating a strong type state class mapped with the description data, and automatically filling a node calling logic and a parallel routing rule based on a preset code template to generate a workflow code; when the code runs wrongly and the number of retry times exceeds a preset threshold value, an execution track is generated through the error positioning agent, candidate schemes are generated in parallel through the multiple repairing agents, and after self-adaptive scoring is conducted through the scoring agent based on the error type, the repairing schemes are verified and executed in sequence.

The invention provides a user-defined script dynamic editing and executing method and system of a Unity engine. The method comprises the following steps that codes are input and preprocessed; executing text cleaning, word segmentation and annotation preprocessing according to the line feed as a code line set; grammatical analysis and semantic understanding; constructing an abstract syntax tree, identifying a syntax structure, and combining context analysis semantics to generate a symbol table; processing errors in real time; positioning an error line through a multi-stage matching strategy, highlighting an error position through a visual interface, and generating a repair suggestion in combination with a line number mapping table, error propagation analysis and a multi-evidence fusion mechanism; executing dynamic codes; explaining and executing the corrected script, and feeding back an execution result; through interaction with a Unity engine, operation control of a script on a game object and a scene is realized; through three core technologies of semantic weight dynamic matching, an anti-interference navigation state machine and a hybrid sorting algorithm, the long-standing problems of low matching precision, poor interaction experience and the like in the field of code completion are solved.

The invention relates to a data verification method, a data verification device and a storage medium. The method comprises the following steps: firstly, through semantic analysis, establishing a mapping relationship between a first position corresponding to first text data in an editable format in a to-be-verified first document and a second position of second text data in a target format in a second document, so that an original to-be-verified text and a to-be-verified text after format conversion form a position corresponding relationship; then, verifying the second document through semantic analysis, and taking second text data which does not pass verification in the second document as annotation data; and finally, based on the mapping relationship, determining the labeling position of the labeling data in the first document, and generating an editable error prompt at the labeling position. Therefore, the time for manually searching the error position of the original document is shortened, and the verification and correction efficiency is improved, so that the data verification efficiency is improved.

The embodiment of the invention provides a purchase file verification method and device, a medium and a product, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring an electronic purchase file subjected to format standardization preprocessing; comparing the electronic purchase file with a preset early warning knowledge base to obtain a comparison result; under the condition that the comparison result shows that the electronic purchase file passes verification, atomic knowledge points of the electronic purchase file are obtained by using a preset hybrid neural network model, and a verification report is generated based on the atomic knowledge points; the verification report includes at least one of a pass item, an error location, or a correction suggestion. According to the scheme of the invention, the format of the electronic purchase file is unified according to the electronic purchase file subjected to standardized preprocessing, and the defects of a traditional contract generation technology are overcome by using the dual verification of the preset early warning knowledge base and the hybrid neural network model.

A memory device includes a syndrome calculator configured to generate an error location signal based on first data and an error correction code; an error corrector configured to generate second data by correcting an error in the first data according to the error location signal; and a data mask (DM) calculation circuit configured to generate a DM signal according to logic high bits of the first data and change a logic level of the DM signal according to at least one of an increase signal and a decrease signal, by activating the increase signal when an error bit is detected in logic low bits of the first data and activating the decrease signal when the error bit is detected in the logic high bits of the first data, based on the error location signal.

To prevent degradation of service to users by analyzing reading errors of an absolute positioning system that detects absolute positions.SOLUTION: An elevator system includes an APS tape on which absolute position information is continuously set corresponding to the position of the car in the direction of movement within the elevator shaft, an APS sensor installed on the car and equipped with two cameras that read absolute position information corresponding to the car's position, and an information processing device that processes the absolute position information read by the APS sensor. The two cameras are positioned so that the reading positions of the absolute position information are separated by an offset distance in the direction of movement. The information processing device includes a recording processing unit that records error information including the error position when a reading error occurs in each of the two cameras, and a compilation processing unit that compiles compilation data that associates the error position with the number of errors based on the recorded error information.SELECTED DRAWING: Figure 8

The invention discloses a dynamic error correction system and method for an OTP (One Time Programmable) memory, a computer and a storage medium, and the system comprises a cross-clock synchronization module which is used for synchronizing asynchronous data of an OTP interface to a system clock domain and generating a control signal according to a data format; the double-buffer-area module is used for alternately writing data and reading a control signal by utilizing two independent buffer areas, and correcting and outputting the written data; the CRC decoder module is used for carrying out error detection on the synchronous data; the error position searching module is used for positioning an error position candidate item of each channel; the error position matching module is used for finding out a uniquely matched error position; and the read control module is used for judging whether data reading needs to be paused or not and starting error correction operation, and sending a control signal to the double-buffer module. According to the invention, a modular architecture design is taken as a core, and a complete processing flow from data receiving, error detection, error positioning to error correction output is constructed.

The invention discloses a flash memory error correction method and system based on adaptive learning, and relates to the technical field of data storage.The flash memory error correction method comprises the steps that flash memory voltage distribution and error code positions are collected in real time, and dynamic feature vectors are generated in combination with environmental parameters; constructing a hypergraph neural network based on the dynamic feature vectors, obtaining error propagation risk scores of the storage areas, and generating a priority list; based on the priority list, the check connectivity of the low-density parity check matrix is adjusted through matrix reconstruction, and a sparse check matrix is formed; an initialization parameter and a solution vector are generated based on the decoder ready state signal, sampling iteration and threshold judgment are carried out, and a decoding result is output; and when decoding fails, performing multi-device parameter updating by adopting aggregation optimization, and performing decoding again to output final correction data. According to the method, collaborative error correction is optimized through multi-device parameter aggregation, so that the limitation of single-device decoding is solved, the global error correction performance is optimized, and the fault-tolerant capability is enhanced.

Embodiments of the present invention provide a memory operation method, a memory, an electronic device, and a storage medium. The memory operation method comprises: in response to detecting an error in a storage array of a memory during a working state of the memory, determining an error location of the error in the storage array; after the memory enters an idle state, controlling the memory to initiate a post-package repair process, and on the basis of the error location, performing replacement of a target storage cell at the error location with a replacement storage cell in the storage array used for the post-package repair process; and after the post-package repair process, switching the memory back to the working state, and using the replacement storage cell to replace the target storage cell for operation. The memory operation method can improve the reliability of the memory.

This application discloses a high-precision error compensation method for the optical axis of a continuous zoom lens, relating to the field of lens inspection. The continuous zoom system is disassembled into independent components and mounted on a rotating stage centering fixture. Static center offset data for each component is calculated by rotating and acquiring the image point trajectory circle. Sampling parameters are set according to the zoom ratio of the continuous zoom system and the movement speed of each component along the optical axis during zooming, while simultaneously acquiring dynamic optical axis offset data of the components. A nonlinear mapping relationship is constructed between the static center offset data and the dynamic optical axis offset data, and a center offset-optical axis error coupling model is established. Based on the deviation compensation amount, the actuator is driven to adjust the position and / or angle of the components, and the optical axis accuracy index is verified after compensation. This solution achieves deep coupling between static and dynamic data, improving the accuracy of error tracing and the specificity of compensation; ensuring coverage of key error locations during zooming; supporting real-time compensation, and enhancing the stability and accuracy of the system during zooming.

The invention provides a Verilog code repair method and system based on compiler feedback drive and Agent, and the method comprises the steps: obtaining a defect code, and carrying out the preprocessing, and obtaining a preprocessed defect code; constructing a structured abstract syntax tree AST; a Verilog compiler is used for compiling the preprocessed codes, error information is collected, error positions are mapped to corresponding nodes in a structured AST, and line-level and grammar node-level positioning is achieved; performing an iterative repair cycle based on the Agent to obtain a repaired Verilog source code; and outputting the restored Verilog source code and the restoration report. According to the Verilog code repairing method and system based on the compiler feedback driver and the Agent, the hierarchical structure and semantics of the Verilog code can be deeply understood, and the repairing accuracy and reliability can be remarkably improved.

The invention relates to a code error feedback method combining static analysis and dynamic analysis, and mainly solves the problems of insufficient error feedback and low efficiency in an Online Judge system: reconstructing codes of correct and error versions, including alignment and renaming of variables, and rearranging statements on the premise of not influencing semantics; static and dynamic multi-level alignment is carried out, in the static alignment, an editing script with the minimum cost is calculated through a heuristic editing distance algorithm, an alignment block and a difference list are obtained, in the dynamic alignment, compiling execution is carried out on source codes of two versions, test cases which do not pass operation are dynamically printed through gdb, and execution track information of the test cases is dynamically printed through gdb; error positioning is achieved, data flow backtracking analysis and scoring are carried out on error positions, and error feedback is generated. The method has the characteristics of high execution efficiency, high accuracy and easier understanding of generated feedback, automatic feedback of error codes can be realized, and the learning efficiency of students in programming tasks is improved.

The application discloses a kind of method, device, edge controller and paver of controlling paver automatic driving.It includes: determining the initial position information of paver in stationary state;Determine the first position information of paver in first time after paver changes from stationary state to running state and the second position information of paver in second time, the second time is later than the first time, and the first position information and the second position information are determined by the camera device installed on the paving;If the second position information is error position information, the error position information is corrected to correct position information based on the initial position information and the displacement line fitted from the first position information, so that the paving is automatically driven according to the preset driving line.The method corrects error position information, and controls paver to automatically drive along the preset driving line according to correct position information.

The invention discloses a method for enhancing large model json generation capability and a plug-in tool, and relates to large models and computer technologies, the method comprises the steps that a json repair plug-in is provided to assist an input task prompt, and the json repair plug-in executes the following steps: according to recently output historical tokens reasoned by LLM, current accumulated output is recognized to reach a json repair condition, and repair of a json result is triggered; according to the format requirement of json, the content of the character string is analyzed into a corresponding josn format according to the historytokensstr generated by the LLM, and the reason and the position of an analysis error are recorded; and repairing the incomplete json character string by utilizing a json-mini-gpt repairing model according to the recorded cause and position of the error. According to the method, a feasible process is provided, the json generation capability of the large model is obviously improved, and the influence on the performance and intelligence of the LLM is obviously reduced.

An electronic memory device includes a cyclic redundancy check (CRC) checker configured to receive received data and a CRC codeword including a received CRC code, derive a comparison CRC code from the received data, and determine whether the received CRC code and the comparison CRC code are the same; and an error position estimation data sampler configured to sample error position estimation data indicating an estimated position of an error in the received data when the received CRC code and the comparison CRC code are different, and transmit the error position estimation data to a CRC checker in which the CRC checker recalculates the comparison CRC code from the error position estimation data, and transmits the error position estimation data to the CRC checker. And correcting an error in the received data reflected by the error position estimation data when the received CRC code and the re-calculated comparison CRC code match.

Systems and methods for error location and error correction includes receiving, at a processor circuit, an input. The processor circuit generates a set of syndrome coefficients based on the input. The processor circuit generates a parity vector for the input based on the set of syndrome coefficients. The processor circuit determines a number of errors present in the input. Responsive to determining the number of errors present in the input, the processor circuit corrects the number of errors.

A method for Bose-Chaudhuri-Hocquenghem (BCH) soft error decoding and an apparatus performing the method are provided. The method includes receiving a code word x, wherein the received code word x has t = t + r errors for some r ≥ 1; calculating a minimal monomial basis of an affine space V = {λ(x) ∈ F[x]: λ(x) · S(x) = λ'(x) (mod x 2t ), λ(0) = 1, deg(λ(x) ≤ t + r} where λ(x) is an error locator polynomial and S(x) is a syndrome; calculating a matrix A ≡ (λ j (β i )) i∈[w],j∈[r+1] , where W = {β1,..., β w} is a set of weak bits in x; constructing an r + 1 row submatrix from r + 1 rows of a subset of A such that the last column is a linear combination of the other columns; forming a candidate error locator polynomial using coefficients of the minimal monomial basis resulting from the constructed submatrix; performing a fast Chien search to verify the candidate error locator polynomial; flipping channel hard decisions at error locations found in the candidate error locator polynomial.

This invention relates to the technical field of programming task code generation methods based on multi-agent collaboration and iterative reasoning. Specifically, it discloses a method for generating programming task code based on multi-agent collaboration and iterative reasoning, comprising: obtaining a task description with a primary-secondary functional dependency structure; generating initial code by a generating agent based on a dependency-guided thought chain and performing static structure verification; collecting runtime execution trajectories in an isolated sandbox through dynamic agents; having a diagnostic agent attribute errors to the trajectories, distinguishing between inter-function collaboration errors and intra-function logic errors, and generating structured repair guidance; and combining historical perception feedback and a controlled reset mechanism to guide subsequent iterative repairs and avoid local optima. This invention solves the problems of ambiguous error location, easy code degradation, and low repair efficiency in existing code generation methods for multi-functional dependency tasks, achieving accurate error attribution, preventing code rollback, and improving generation success rate and repair convergence efficiency.

The application discloses a decoding method and device of an error correction code, an apparatus, and a medium, comprising: acquiring a Galois field equation corresponding to the error correction code, and determining a target relationship corresponding to an error position after decoding. Based on the target relationship, a plurality of conjugate position pairs are determined, and for any conjugate position pair, based on an index and a polynomial control table, a first polynomial corresponding to the index coefficient of a first position in the conjugate position pair and a second polynomial corresponding to the index coefficient of a second position are determined. The coefficients of the first polynomial and the second polynomial are XORed to obtain an XOR result. When the XOR result matches the target coefficient of the Galois field equation, the first position and the second position are determined as the error position. Based on the application of the Galois field equation and the Wedderburn theorem, the error position can be determined based on the index and the polynomial control table, without traversing all possible values to substitute into the Galois field equation, so as to reduce the calculation amount in the decoding process and reduce the complexity.

A failure location estimation device according to the present invention has a rule learning control unit that defines a rule that indicates the relationship between alarms that characterize failures at a network and failure locations and a failure location estimation function unit that estimates failure locations using an alarm set that has been generated at the network and the rule. When the rule is defined, the rule learning control unit extracts a plurality of rule candidates, the failure location estimation function unit estimates failure locations using all of the plurality of rule candidates and calculates evaluation values for correct locations and evaluation values for incorrect locations, and the rule learning control unit calculates scores that include the evaluation values for correct locations and the evaluation values for incorrect locations calculated by the failure location estimation function unit and numbers of incorrect locations as parameters and uses the rule candidate that has the highest score to define the rule to be used for estimation of failure locations by the failure location estimation function unit.

Provided is an apparatus comprising a search engine that (i) receives parallel input of a set of syndrome polynomial products corresponding to a set of ECC words and (ii) produces corresponding sets of polynomial roots therefrom and a sequence detector that identifies sequences within each of the polynomial roots within the set of roots. The apparatus also includes a sequence check logic that (i) combines the identified sequences within each of the polynomial roots and (ii) performs a sequence check of the combined identified sequences to determine whether only one of the identified sequences is valid; and an error location generator that derives an error location in each of the ECC words within the set responsive to the valid sequence.

The invention relates to data corruption tracking for memory reliability. Techniques related to improving memory reliability, for example, in the context of memory circuits with limited reliability features, are disclosed. In some embodiments, memory controller circuitry is configured to communicate via an interface with memory circuitry that supports link error detection. The memory controller circuitry may transmit a combination of data and parity for the first data block based on the corruption indicator, the combination of data and parity causing the memory circuitry to detect an uncorrectable write interface error. Subsequent reading of the location may thus cause an uncorrectable error indication. In some embodiments, this may advantageously allow the memory controller circuitry to propagate a corruption indicator in the memory circuitry as an uncorrectable error without the need to additionally track the indicator by the memory circuitry or memory controller.

The invention relates to the field of magnetic resonance, and in particular to determining a location of an error in a supply or signal line. Due to the rugged environment for MR systems in hospitals supply or signal lines of MR systems are error prone. For serviceability and part replacement it is important to locate the error in the supply or signal line or to identify the subunit of the supply or signal line in which the error occurred. The basic idea of the invention is to use an additional impedance, that is coupled to the supply or signal line of the MR system in the region of interconnection for locating the error in the supply or signal line. The additional impedance provides a reference impedance value. By measuring the impedance and comparing the measured impedance to the reference impedance value, the error in the supply or signal line can be located. In one embodiment the additional impedance is realized as additional capacitance and provided as a capacitor.

This application discloses a decoding method, apparatus, device, and medium for error-correcting codes. The method includes: obtaining the Galois field equation corresponding to the error-correcting code, wherein the total length of the error-correcting code is a preset number of bits. Then, based on the Galois field equation, a target relational expression corresponding to multiple error positions after decoding the error-correcting code is determined. This target relational expression is derived based on Vieta's formulas. Based on the target relational expression and the preset number of bits of the error-correcting code, a first traversal range is determined. Then, among the values ​​included in the first traversal range, a first error position is determined. Finally, based on the target relational expression and the first error position, a second error position is determined. The error-correcting code decoding method provided by this application, based on the application of the Galois field equation and Vieta's formulas, reduces the traversal range for determining error positions, eliminating the need to traverse all possible values, thus reducing the computational load and complexity in the decoding process.

The invention discloses an error correction method and device for storage equipment, electronic equipment and a computer readable storage medium, and relates to the technical field of storage. The method comprises the steps of performing LDPC pre-verification on to-be-decoded data, and based on a verification result, determining a row verification failure number of each column of a verification matrix according to a numerical value of each row of each column of the verification matrix and a numerical value, corresponding to the verification result, of each row; and determining a self-adaptive adjustment value of a log-likelihood ratio according to an original decision value read from the storage device to be corrected and the corresponding row verification failure number for the error position column of which the row verification failure number is greater than or equal to a preset error threshold value, and determining a decoding result according to the self-adaptive adjustment value of the log-likelihood ratio. According to the invention, the problem that the related technology is not suitable for error correction in a high-error scene can be solved, and the error correction performance of LDPC can be effectively improved.

A memory device and a memory module are provided. The memory device can include a memory cell array including a normal cell region storing data, and an error detector configured to detect an error of the data, the error detector can include an error location information extractor configured to extract first error location information of a first error bit in first data read from the normal cell region in a first read operation, and extract second error location information of a second error bit in the first data read from the normal cell region in a second read operation, and an error location comparator configured to compare the first error location information with the second error location information, and output a signal based on a comparison result of the first error location information and the second error location information.

This invention discloses a design document inspection method, apparatus, and device. First, it detects error information for unprocessed errors in the design document. Then, it generates an inspection file based on the error information. The inspection file is used to identify and process the unprocessed errors in the design document according to the error information. Thus, it automatically detects error information in the design document and automatically generates an inspection file that can be used to identify and process the unprocessed errors in the design document. This avoids manually creating inspection files, manually taking screenshots, and manually recording misalignment locations in the design document. It can automatically jump to the error level and location based on the error file, quickly identify and correct errors, avoid repeatedly confirming inspection information, and achieve automatic reproduction of misalignment levels and locations. The operation is simple and fast, saving time and manpower, and significantly improving the efficiency and accuracy of error detection.