14results about How to "Increase adoption rate" patented technology

The embodiment of the invention discloses a gray release method and device for a software upgrading system, equipment and a product. The gray release method comprises the following steps: constructing a first matrix and a second matrix according to user behavior data; elements in the first matrix are used for representing actual operation executed by each user for the function of each initial software system; determining a first target user based on the first matrix, and determining a second target user based on the second matrix and the first target user; determining a pushing parameter and an actual target user according to the target software system and the initial software system; the target software system is a system after the initial software system is upgraded; and transmitting the access request of the actual target user to the target software system by using the micro-service architecture, so that the target software system completes gray release. According to the technical scheme, accurate pushing of the target software system is realized by utilizing the user behavior data, so that the adoption rate of the target software system is improved, and a better test effect is provided.

The utility model discloses a vacuum screw head, relates to the field of drilling of soil layers or rocks, and solves the problem that when a single-pipe drilling tool is pulled out of a drill to extract a rock core, the suction effect in a drill hole reduces the rock core extraction rate. According to the technical scheme, the vacuum screw head comprises a connecting base and a sliding sleeve, the connecting base comprises a connecting shaft provided with a pipe cavity and a base fixed to one end of the connecting shaft, the other end of the connecting shaft is a connector used for being directly or indirectly connected with a drill rod, the connecting shaft is arranged in an inner hole of the sliding sleeve in a penetrating mode, and the sliding sleeve can slide along the connecting shaft. The outer side of the sliding sleeve is provided with an external thread which is used for being directly or indirectly connected with a single-pipe drilling tool. The connecting shaft is further provided with a first through hole and a second through hole, the first through hole and the second through hole are both communicated with a pipe cavity of the connecting shaft, the position of the sliding sleeve on the connecting shaft is automatically controlled through friction force between the sliding sleeve and the hole wall of the drill hole, opening and closing of the first through hole and the second through hole are correspondingly changed, and a flushing fluid conveying channel is correspondingly changed. The utility model can improve the core recovery rate.

The invention discloses an open type pump-free drilling tool and a drilling construction method. The open type pump-free drilling tool comprises a drilling rod; the first internal circulation device comprises a shell which is of a hollow structure installed at the bottom of the drill rod, and through holes communicating with the outside are formed in the bottom face and the side face of an inner cavity of the shell correspondingly; the first movable ball is arranged in the inner cavity of the shell, and the diameter of the first movable ball is larger than that of the bottom surface through hole of the inner cavity; the circulating pipe is mounted at the bottom of the first internal circulating device and is hermetically communicated with a bottom surface through hole of an inner cavity of the first internal circulating device; the connector is of a sleeve structure installed at the bottom of the circulating pipe, and the upper portion of the inner ring face of the connector is connected with the circulating pipe in a matched and sleeved mode; the powder taking pipe is arranged on the outer side of the circulating pipe in a sleeving mode and connected with the top of the outer ring face of the connector in a matched and sleeving mode. The core barrel is mounted below the connector and is matched and sleeved with the bottom of the outer ring surface of the connector. According to the invention, the drilling tool is lifted up and down, so that the circulating liquid in the well realizes local reverse circulation flow under the hydrostatic column pressure, and the purposes of removing rock powder, cooling the drill bit and improving the core recovery rate are achieved.

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.

The invention discloses a fresh flower collocation method based on big data. The method comprises a data acquisition module, a data analysis module, a collocation generation module, a user interaction module, a scheme display module and a data storage module. The data acquisition module is electrically connected with the data storage module, the data storage module is electrically connected with the matching generation module, the matching generation module is electrically connected with the scheme display module and the data analysis module, and the data analysis module is electrically connected with the user interaction module. According to the fresh flower matching method based on the big data, the favors of the user can be judged according to the conditions input by the user according to the fresh flowers matched through the matching method, and the thoughts which are not expressed by the user are mined through a deep mining algorithm, so that the generated scheme can better fit the thoughts of the user.

The present invention discloses a translation optimization method, device and processor. The method comprises: obtaining a plurality of target query statements and translation results of a plurality of target query statements, wherein the target query statement is a query statement that satisfies a preset condition, and the preset condition is used to characterize the translation accuracy of the query statement in the target domain; training a target machine translation system based at least on the translation results of the plurality of target query statements and the plurality of target query statements; translating the query statements to be translated in the target domain based on the target machine translation system. The present invention solves the technical problem in the related art that when performing cross-language queries in a specific domain, the translation accuracy of the query statement is low, resulting in poor adoption of the query results.

The invention discloses a health service recommendation method and device, and relates to the technical field of internet medical treatment. A specific embodiment of the method comprises the steps of obtaining user data, wherein the user data comprises health question and answer data, health state data and behavior data of a user; inputting the health state data and the behavior data into a pre-constructed first recommendation model, and obtaining a service recommendation first weight output by the first recommendation model; inputting the health question and answer data into a pre-constructed second recommendation model, and obtaining a service recommendation second weight output by the second recommendation model; and according to the service recommendation first weight and the service recommendation second weight, determining a recommended health service corresponding to the user. According to the embodiment, personalized and accurate health service recommendation is realized, the accuracy of the recommendation service is ensured while the personalization of the recommendation service is improved, and then the adoption rate of the recommended health service by the user is improved, so that specialized and personalized recommendation service is provided for the user, and the user is better served.

The utility model discloses a device for improving the recovery rate of a sand layer rock core, which belongs to the technical field of sand layer rock core recovery equipment and comprises a drill cylinder body, a drill bit structure is arranged at the end of the drill cylinder body and comprises a drill bit, the top end of the drill bit is connected with an embedded ring, and a plurality of telescopic fastening components are uniformly arranged on the inner ring wall of the drill bit. According to the utility model, elastic clamping force can be applied to the side wall of the sand layer rock core drilled into the drill cylinder body through the plurality of telescopic fastening parts which are arranged in the drill cylinder structure and are distributed in the circular array, so that the sand layer rock core in the drill cylinder body can be clamped and fixed in the process of taking the drill cylinder body out of a drill hole; and the telescopic fastening components which are arranged in the drill bit structure in a circular array manner can block a gap between the rock core and the side wall of the inner cavity of the drill bit, so that fragments falling from the rock core are prevented from leaking out of the interior of the drill cylinder body through the gap between the rock core and the side wall of the inner cavity of the drill bit.

The invention relates to a resource configuration suggestion information generation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of entering a pre-constructed meta-cosmic space in response to a virtual image of an account, and displaying an acquisition page of resource information on a virtual screen in the meta-cosmic space; the resource information comprises original resource transfer information of the account; in response to a triggering operation of the meta-universe intelligent wearable device on the acquired page, acquiring a triggering instruction matched with the triggering operation, and determining resource information of the account based on the triggering instruction; obtaining user portrait data of the account, generating resource configuration suggestion information of the account according to the user portrait data of the account and the resource information of the account, and displaying the resource configuration suggestion information in the virtual screen; the resource configuration suggestion information is used for guiding the user to perform resource transfer. By adopting the method, the generation efficiency of the resource configuration suggestion information can be improved.

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.