5results about How to "Avoid parsing errors" patented technology

The invention relates to the technical field of multi-modal processing, and discloses a desktop operation track prediction and planning scheduling method based on a multi-modal large model, and the method comprises the following steps: constructing the multi-modal large model for fine adjustment in the medical field, and analyzing the multi-modal information in the desktop operation of a doctor; based on the multi-modal information analyzed by the multi-modal large model, performing multi-dimensional medical context sensing processing, and generating a structured medical context feature vector; according to the method, deep fusion analysis of multi-modal information in desktop operation of a doctor is realized by constructing a fine-tuning multi-modal large model in the medical field, and the operation intention of the doctor can be analyzed based on a multi-modal input combination of a screen interface image, a voice instruction and a keyboard and mouse operation track, so that analysis errors caused by information source conflicts are avoided, and the analysis accuracy is improved. And through a collaborative analysis mechanism of a multi-modal large model, the consistency and accuracy of operation intention recognition are ensured, and a reliable basis is provided for subsequent trajectory prediction.

This application relates to a server-based method for parsing and optimizing resume documents. The method is applied to a resume processing system including a client and a server. The method includes: the server receiving encrypted resume data from the client and using a preset decryption key to decrypt the encrypted resume data, obtaining a resume file to be parsed; extracting features from the resume file to obtain itemized resume data containing text content and layout features, and annotating the itemized resume data with fields; optimizing the field-annotated resume data using a job-skill knowledge graph to obtain optimized resume data; and encapsulating the resume data and sending it to the client for rendering and filling into a preset online resume form. This solution significantly improves the efficiency of filling resume content into an online resume form.

This application discloses a DevOps-based automated deployment and operation and maintenance method and system for internet applications, relating to the field of microservice deployment and operation and maintenance technology. The method includes: responding to a service instance deployment completion event from a provider and obtaining its first version identifier and corresponding message sending request; based on this request, obtaining the second version identifier of each instance in the set of consumer service instances and comparing it with the first version identifier to generate a version difference comparison result; based on this result, extracting fields from the first format message body in the message sending request to generate a set of fields to be converted; based on this set and a version mapping table, performing deletion and overwriting operations on the set of fields to be converted to generate a second format message body, and pushing it to consumer service instances whose version identifier is less than the first version identifier. This invention avoids the loss or parsing errors of old consumer messages caused by new format messages during the time difference of multi-service parallel deployment.

The invention discloses an edge computing multi-dimensional online diagnosis method based on an optocoupler chip, and belongs to the technical field of edge computing and intelligent fault diagnosis. The edge computing multi-dimensional online diagnosis method comprises the steps that a coding side device is arranged on the RX chip side, and a decoding side device is arranged on the TX chip side; the coding side device is used for mapping an abnormal type into a modulation electric signal with a set known frequency characteristic according to a preset private protocol when an abnormal state of any dimension is detected, and outputting the modulation electric signal through a unique light emission channel; and the decoding side device is used for receiving the frequency modulation electric signal subjected to photoelectric conversion, performing synchronous analysis based on a system clock homologous with the RX chip, restoring a corresponding abnormal type, and reporting the abnormal type to the main control MCU. According to the invention, efficient and low-delay reporting of multi-dimensional faults can be realized through a single optical channel, wiring is significantly simplified, the system complexity is reduced, and the expansibility is improved.

The invention discloses a MyBatis framework-oriented SQL (Structured Query Language) automatic analysis and optimization method and system, and the method comprises the steps: calling a GenericTokenParser, an XNodeParser and a SqlSourceBuilder tool class officially provided by Apache MyBatis, completing the grammar analysis of a dynamic SQL statement, the recognition and replacement of a parameter placeholder, generating a BoundSql object, and obtaining complete execution plan information; inputting the static SQL text and the execution plan into a configurable artificial intelligence large model interface, and deeply analyzing the performance bottleneck by the large model; and automatically diagnosing the problem severity through a rule engine based on a quantitative index of an execution plan field, dividing the problem severity into three levels of emergency optimization, important optimization and suggested optimization, and generating a structured diagnosis report containing problem description, reason analysis and an executable optimization scheme. According to the method, the MyBatis framework characteristics and the AI large model capacity are deeply fused, the problems that dynamic SQL analysis is inaccurate, diagnosis lacks quantitative grading, an optimized closed loop is incomplete, and rules are statically solidified are solved, and the efficiency and the intelligent level of database performance management are remarkably improved.