22 results about "Correction request" patented technology

The invention discloses a deviation correction method, system and equipment based on a tool bit, and relates to the technical field of tool bit correction.The method comprises the steps that after a tool bit replacement correction request sent by a user side is received, the system executes first-time destination cutting, generates a destination cutting groove virtual model, extracts cutting parameters and compares the cutting parameters with preset parameters, and destination cutting deviation data is obtained; the system compensates the tool bit track and then executes second-time return cutting, a return cutting groove virtual model is generated, cutting parameters are extracted, and return cutting deviation data are obtained; the residual deviation is compared with a preset residual deviation threshold value, and whether the tool bit is corrected or not is judged; and if the correction is not completed, calculating a correctable value, and judging whether the return cutting deviation data can be continuously used for subsequent compensation or not. According to the method, whether the tool bit deviation can be compensated or not can be dynamically judged according to actual conditions, system oscillation caused by blind correction is avoided, rapid detection, effective compensation and intelligent decision making of the tool bit deviation are achieved, and the cutting precision and the system stability are improved.

The invention relates to a machine question answering technology, in particular to a code generation and correction method based on multilevel context awareness and memory iteration, which comprises the following steps of: S1, receiving a preliminary fuzzy demand, proposing a clear question and generating a structured demand document according to content supplement and question answer; s2, learning the context of the item and generating an initial code according to a learning result and the structured demand document; s3, running the initial code; s4, monitoring operation, capturing logs, if the operation is successful, ending circulation, and if the operation is not successful, entering S5; s5, analyzing the log and positioning errors; updating the error to a problem pool and a correction history, and triggering a correction request; the positioning error comprises extraction abnormity, files and line numbers; the correction request comprises an error code snippet, error information and a correction history; and S6, analyzing the correction request and generating a correction code, wherein the correction code comprises construction of an enhanced diagnosis prompt word. According to the invention, rapid, efficient and accurate project code generation can be realized.

Embodiments of the present application provide a distributed correction system, a computer readable storage medium and an electronic device, comprising: a central control layer comprising a scheduler, configured to decompose a mixed branch transaction into resource nodes and transaction nodes based on a correction request, and construct a reverse dependency graph to generate a reverse scheduling instruction, and route the reverse scheduling instruction to the corresponding transaction node; a basic data layer configured to extract an original transaction change log based on the reverse scheduling instruction in the case that the reverse scheduling instruction is routed to the corresponding transaction node; and a bottom execution layer configured to generate a reverse operator sequence based on the reverse scheduling instruction, and perform a correction operation based on the reverse operator sequence and the original transaction change log, to generate and execute a database instruction, to generate and update transaction modification data and execute a certificate. Therefore, at least the problem of poor consistency in correcting submitted distributed transaction data in the related art is solved.

The application discloses a tool bit-based deviation correction method, system and device, relates to the tool bit correction technical field, and when a tool bit replacement correction request sent by a user end is received, the system performs first cutting to a direction, generates a cutting slot virtual model to the direction, and extracts cutting parameters and preset parameters for comparison to obtain cutting deviation data to the direction; after the system compensates the tool bit track, second cutting to a direction is performed, a cutting slot virtual model to the direction is generated, and cutting parameters are extracted to obtain cutting deviation data to the direction; the cutting deviation data to the direction is compared with a preset residual deviation threshold value, whether the tool bit has been corrected is judged; if the correction is not completed, a correctable value is calculated, and whether the cutting deviation data to the direction can be continuously used for subsequent compensation is judged. According to the method, whether the tool bit deviation can be compensated can be dynamically judged according to actual conditions, blind correction leading to system oscillation is avoided, rapid detection, effective compensation and intelligent decision of the tool bit deviation are realized, and the cutting precision and system stability are improved.

The application relates to a machine question answering technology, in particular to a code generation and rectification method based on multi-level context perception and memory iteration, which comprises the following steps: S1. accepting a preliminary fuzzy requirement, proposing a clarification question, and generating a structured requirement document according to content supplement and question answering; S2. learning a project context and generating an initial code according to a learning result and the structured requirement document; S3. running the initial code; S4. monitoring the running, capturing a log, if successful, ending the cycle, and if unsuccessful, entering S5; S5. analyzing the log and locating an error; updating the error to a question pool and a correction history and triggering a correction request; the locating of the error comprises extracting an exception, a file and a line number; the correction request comprises an error code segment, error information and the correction history; S6. analyzing the correction request and generating a correction code, which comprises constructing an enhanced diagnosis prompt word. The application can realize fast, efficient and accurate project code generation.

The invention discloses a query result determination method and device, a storage medium and electronic equipment, and the method comprises the steps: determining a first query result based on a first query request of a target user; determining whether the target system comprises first correction data associated with the first query request or not based on the first query result, wherein the first correction data is determined based on a first correction request sent by the target user; under the condition that the target system comprises the first correction data, correcting the first query result according to the first correction data to obtain a target query result; and sending the target query result to the target user. By means of the method and device, the problem that the query result fed back to the user is inaccurate is solved, and then the effect of accurately feeding back the query result is achieved.

The application provides a data compliance correction method and system and electronic equipment, and relates to the technical field of data governance. The method comprises the following steps: in response to a correction request of a client for to-be-corrected business data in a locked state, sending a compliance challenge information to the client; receiving an unlocking credential submitted by the client according to the compliance challenge information, and issuing an unlocking token to the client after verifying that the unlocking credential is valid; receiving correction data submitted by the client and carrying the unlocking token, and writing the correction data into a pre-created new version branch after verifying that the unlocking token is passed. The application can realize automatic consistency alignment of compliance correction and associated data on the premise of ensuring data integrity and traceability.

Mechanisms to customize forms in a distributed ledger trust network (“DLTN”). A given user can specify metadata that defines a form to be completed by other users, where the metadata that defines the form is stored in a blockchain. The given user can set permissions for the form, so as to control access to the form, and assign the form to other users for completion. After another user has submitted an instance of a form (including data entered by the other user) to the blockchain, the given user can review and approve the instance of the form, or request a correction to the form by the other user. The blockchain can store a record of the form, instances of the form that include data provided by other users at different stages, and information about the status of those instances of the form (e.g., approved, correction requested, rejected).

The invention relates to a tapping rollback control method, a controller, a machine tool and a storage medium, and belongs to the technical field of machine tools. The tapping rollback control method comprises the steps that a tapping tool in the tapping process is monitored in real time, and whether tapping is abnormal or not is judged based on the monitoring result; if it is judged that tapping is abnormal, a tapping rollback control instruction is generated, and a tapping tool is controlled to rollback according to the tapping rollback control instruction; monitoring the tapping tool in real time in the rollback process, judging whether rollback abnormity exists or not based on a monitoring result, and providing a user interaction interface to receive a rollback parameter correction request of a user; if it is judged that the rollback is abnormal, the rollback action is stopped. By the adoption of the tapping rollback control method, abnormity in the rollback process can be effectively handled, and corresponding parameters can be adjusted.

To reduce a burden on a user when creating a work shift.SOLUTION: A work shift generation system includes a shift generation unit (15) that generates a work shift, a shift presentation unit (11) that presents the work shift generated by the shift generation unit (15), a correction request acquisition unit (12) that receives a content and an importance of a correction request from a shift target person for the presented work shift, and a constraint parameter weighting unit (14) that sets a weight of a setting value of a parameter corresponding to the correction request based on the content and the importance of the correction request.SELECTED DRAWING: Figure 2

The invention relates to the technical field of image forming devices, and particularly provides a printing control method and device, a system, equipment, a storage medium and a product. The method comprises the following steps: receiving a correction request, wherein the correction request is used for requesting to execute correction processing on a first task submitted to print; then, based on a hardware working state, determining a correctable range of the first task; therefore, based on the user operation information of the correctable range, generating a reconstruction queue of the first task; and further, on the basis of the reconstruction queue, continuing to execute the first task. In conclusion, according to the technical scheme provided by the invention, submitted but unprocessed tasks can be flexibly corrected, the implementation mode is simple and convenient, the efficiency is relatively high, and resource waste can be avoided.

A memory correction method, system and device, in the present application, the memory controller in the computing device is connected with at least one coprocessor through an out-of-band channel. The memory controller sends a correction request to at least one coprocessor after failing to correct the data to be corrected stored in the memory, the correction request is used to request to correct the data to be corrected, the coprocessor corrects the data to be corrected to obtain the corrected data, and feeds back the corrected data to the memory controller. The memory controller corrects the UCE with the help of the coprocessor, the memory controller can obtain the corrected data from the coprocessor, the UCE is corrected, the processor can obtain the correct data, and the operation of the processor will not be interrupted.

A system is provided.SOLUTION: A system comprising: means for receiving character settings from a user device; means for generating a character image using a generation AI based on the character settings; means for transmitting the generated character image to the user device; means for re-generating the character image based on a modification request from the user; and means for storing the final character image for the user to download.SELECTED DRAWING: Figure 1

Systems and methods for enhancing application resiliency are provided. Some embodiments involve receiving an issue correction request from an application. Some embodiments involve sending an authentication token request to an authentication server and receiving an authentication token. Some embodiments involve creating a synthetic monitor instance in response to receiving the authentication token. In some embodiments, the synthetic monitor instance invokes a microservices instance that detects an application error. In some embodiments, the synthetic monitor instance creates a message. In some embodiments, the synthetic monitor instance sends the message to a service operations manager. In some embodiments, the service operations manager invokes an information technology solutions router. In some embodiments, the information technology solutions router requests a runbook. In some embodiments, the information technology solutions router invokes the runbook to respond to the issue correction request.

The invention relates to the technical field of semiconductor manufacturing, in particular to a parameter correction method, device and equipment for a scanning electron microscope, a medium and a program product. The method comprises the steps that in response to a correction request for target equipment, a detection image of a to-be-detected sample is acquired, and the detection image comprises a preset feature structure; processing the detection image to obtain an edge point set of the feature structure; performing fitting processing on the edge point set to obtain a corresponding fitting graph and associated graph parameters; determining image feature evaluation parameters of the fitting graph based on the graph parameters; and determining a correction parameter of the target device based on the image feature evaluation parameter, and iteratively verifying and adjusting the target device based on the correction parameter until the image feature evaluation parameter satisfies a preset correction constraint condition, the correction constraint condition being a constraint interval of the image feature evaluation parameter when the target device satisfies a correction standard. By adopting the method, the correction precision and efficiency of orthogonality and scanning sensitivity can be improved.

This application discloses an AI-based automatic data warehouse quality monitoring method and system. The method includes: obtaining the object identifier of a newly emerging change event in the data warehouse, determining its corresponding target table, obtaining multi-source data corresponding to that table, calling AI to match it with a rule base, determining the target rules corresponding to the matched fields, and generating an SQL data package based on a preset output structure; executing the data package line by line in an isolated or sandbox environment, collecting the execution results, and if the results do not meet the conditions, generating a data correction request form and sending it back to AI to generate a corrected SQL, replacing the original entries, and re-executing; deploying entries that pass or reach the maximum number of iterations to obtain the quality results after scheduled execution; if the quality results are abnormal, automatically identifying the abnormal information and executing corresponding strategies according to the abnormality level. This method enables fully automated execution of the entire process from new table / new task awareness to quality monitoring deployment.

The application relates to the technical field of resource management, in particular to a resource scheduling record correction method and device, equipment and a storage medium. An unknown resource scheduling record is acquired, identification information of the unknown resource scheduling record is sent to a service node such as a host and / or a microservice, then identification information of to-be-corrected data determined based on the unknown resource scheduling record and returned by the service node, that is, the unknown resource scheduling record inconsistent with the resource scheduling record of the service node, is received, the to-be-corrected data is associated and compared with the unknown resource scheduling record according to the identification information of the to-be-corrected data, the resource scheduling record to be corrected is obtained, a correction request for correcting the resource scheduling record to be corrected is generated, and the correction request is sent to the service node, so that the service node corrects the resource scheduling record to be corrected. Based on the above-mentioned mode, on the one hand, the reliability of resource scheduling correction is ensured, and on the other hand, the correction efficiency of resource scheduling is improved.

The application provides a radar channel correction method and device. The method comprises: generating a correction simulation signal in response to a correction request; inputting the correction simulation signal into a transmitting channel and a calibration channel respectively to obtain a transmitting channel simulation signal and a receiving channel simulation signal; the calibration channel is indirectly connected to the receiving channel through an excitation signal, a channel and an antenna; extracting transmitting channel response characteristics and receiving channel response characteristics from the transmitting channel simulation signal and the receiving channel simulation signal respectively; calculating transmitting channel correction coefficients and receiving channel correction coefficients based on the transmitting channel response characteristics and the receiving channel response characteristics; and correcting the transmitting channel and the receiving channel based on the transmitting channel correction coefficients and the receiving channel correction coefficients to compensate for channel differences in real time. The method realizes real-time compensation for channel differences, is simpler to use than traditional methods and saves FPGA resources.

The application relates to an artificial intelligence technology in the field of digital finance, and discloses a text error correction method, which comprises the following steps: in the case that an error correction request sent by an authorized first terminal is received, a first file box associated with the first terminal is generated, the first file box is used to obtain user-typed text to be corrected; text processing is performed on the text to be corrected to generate a set of words to be predicted to be wrong; the set of words to be predicted to be wrong and the text to be corrected are input into a pre-trained context semantic recognition model to perform semantic prediction on the text to be corrected, a corresponding second predicted word is generated, an error word in the text to be corrected is replaced by the second predicted word, and a correct text after error correction is obtained. The application also relates to a blockchain technology, and the error correction result can be stored in a node of the blockchain. The application further provides a text error correction device, an electronic device and a readable storage medium. The application can improve the accuracy of detecting target wrong words.

A system is provided.SOLUTION: A system comprising: artificial intelligence means for automatically setting an appropriate goal for an employee using historical assessment data and performance data; user interface means for the employee to confirm the set goal and input a modification request if necessary; artificial intelligence means for accepting the modification request and performing a re-assessment; database means for collecting employee progress and storing data; and assessment means for automatically calculating intermediate and final assessments and generating feedback.SELECTED DRAWING: Figure 1

The invention discloses a method for correcting code defects and computing equipment, and relates to a code correction system, the code correction system comprises a visual analysis model and a correction agent, the correction agent comprises a basic model and a plurality of callable functions, the basic model is a plain text large language model, a defect correction request for a target item is obtained, and the defect correction request is sent to the computing equipment; the defect correction request comprises a defect description text and a defect description image; generating a corresponding image description code according to the defect description image by utilizing the visual analysis model; and carrying out code correction on the target item by utilizing the correction agent according to the image description code and the defect description text, so that image information and text information in a defect correction request can be fully utilized, and the success rate of code correction is improved.

Systems and methods for enhancing application resiliency are provided. Some embodiments involve receiving an issue correction request from an application. Some embodiments involve sending an authentication token request to an authentication server and receiving an authentication token. Some embodiments involve creating a synthetic monitor instance in response to receiving the authentication token. In some embodiments, the synthetic monitor instance invokes a microservices instance that detects an application error. In some embodiments, the synthetic monitor instance creates a message. In some embodiments, the synthetic monitor instance sends the message to a service operations manager. In some embodiments, the service operations manager invokes an information technology solutions router. In some embodiments, the information technology solutions router requests a runbook. In some embodiments, the information technology solutions router invokes the runbook to respond to the issue correction request.