6results about How to "Increase adoption rate" patented technology

The present application relates to the technical field of children nutrition assessment, and provides a kind of intelligent food material identification weighing and children nutrition assessment system, comprising: weighing module, for accurately weighing food material weight;Image recognition module, integrated multispectral camera and edge computing unit, through convolutional neural network model, multi-level feature extraction is carried out to food material image, and food material category and subdivision category are identified;Database module, built-in latest version Chinese food composition table, stores the nutrient component data of each kind of food material per 100 grams;Calculation module, according to the weight data output by weighing module and the food material category identified by image recognition module. Through the linkage of image recognition and weighing module, the synchronous acquisition of food material category and weight is realized, non-professional personnel can operate independently, the evaluation efficiency is improved by more than 70%, long-term data accumulation and trend analysis are supported, help parents to master children's nutrition status comprehensively, avoid phase nutrition imbalance.

The application discloses a kind of deep feature bayesian verification electronic evidence comparison method, it is related to electronic data forensics technical field, including, obtaining multi-source electronic evidence data, carries out structured reorganization and feature enhancement to multi-source electronic evidence data, generates enhanced evidence data;Enhanced evidence data is extracted using deep neural network to multi-dimensional deep feature, forms high-dimensional evidence feature vector;By bayesian inference method, the difference probability comparison of high-dimensional evidence feature vector is carried out, and the similarity confidence value is output;Similarity confidence value, deep evidence feature and high-dimensional evidence feature vector are block chain and traceability anchor are stored, and the output tamper-proof verification voucher;Based on tamper-proof verification voucher, similarity confidence value is carried out and is traced back to the grade mapping and verification of acceptance, and generates electronic evidence comparison report.The application is extracted by multidimensional deep feature and bayesian verification double mechanism cooperation, realizes the high-precision comparison of electronic evidence and uncertainty quantification.

This invention discloses a software code optimization method and system based on big data. The method includes the following steps: constructing a code optimization knowledge base; acquiring the target code to be optimized and its corresponding estimated runtime data features; parsing the target code, extracting its structural features, and fusing the structural features with the estimated runtime data features to generate a target code fingerprint; performing similarity matching between the target code fingerprint and historical code fingerprints in the code optimization knowledge base to determine target historical code fingerprints that match the target code fingerprint; and determining a target optimization strategy for the target code based on the optimization strategy corresponding to the target historical code fingerprint. This invention can improve development efficiency, reducing the performance tuning work of senior architects, which can take hours or even days, to automated recommendations at the minute level, greatly improving software iteration efficiency.

This application relates to the field of artificial intelligence technology and discloses a data processing method, apparatus, device, and medium. The method includes: acquiring multimodal information based on client input; retrieving a business knowledge base based on the multimodal information and obtaining relevant target business information from the business knowledge base; determining initial response information of a large language model based on the multimodal information and the target business information; determining deviation segments between the initial response information and standard dialogue in a preset dialogue template library; correcting the deviation segments in the initial response information to obtain corrected target response information, and feeding back the target response information to the client. This application can improve the accuracy of knowledge matching and ensure the output effect of the large language model; by controlling the dialogue through standard dialogue, the accuracy, compliance, and consistency of the response dialogue can be guaranteed.

The invention relates to the technical field of deep engineering geological drilling engineering, and discloses a high-ground-stress hard rock stratum rope double-core coring drilling tool and a coring and reaming method, the high-ground-stress hard rock stratum rope double-core coring drilling tool comprises an outer pipe, an inner pipe arranged in the outer pipe, and an elastic clamping assembly, a coring assembly, a reaming assembly and a righting assembly which are sequentially assembled in the drilling direction; the elastic clamping assembly is connected with one end of the inner pipe in a matched mode, the elastic clamping assembly is installed in the elastic clamping chamber in a matched mode, and the elastic clamping chamber and the end of the outer pipe are positioned and fixed through the seat ring. The coring assembly comprises a double-core coring drill bit, a double-core clamping spring, a clamping spring check ring, a double-layer clamping spring base and a single-layer clamping spring base. The double-core coring drill bit is installed at the end, away from the elastic clamping assembly, of the inner pipe. The double-core drilling tool structure with the geometric center and the rotation center arranged eccentrically is adopted, coring and chambering operation are carried out synchronously, the double clamp springs and the clamp spring seats are additionally arranged, the inner diameter of the clamp springs is reduced, the influence of quick release of stress in a high-stress hard rock stratum on the drilling tool is effectively reduced, the core recovery rate is increased, and the probability of occurrence of construction accidents such as drilling tool jamming is reduced.

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.