4results about How to "Improve execution speed" patented technology

The present subject matter discloses a system and a method for integration application environment migration utilizing hub and spoke architecture. In one implementation, the method for application environment migration comprising assessing at least one source application code of corresponding integration application environment by a processor (122) of an integration application server. The processor forecasts an assessment statistic (302) that provides at least one functional readiness (304) and a timeline (306) to complete the migration of the each source application code. The processor (122) further scans the each source application code of corresponding source application for generating the integration applications compatible with a target application environment and creates a relationship map to match components of the integrating applications with components of the target application environment. The processor (122) generates a re-factored code for the each source application code by breaking the each source application code into macro-services (426a, ..., 426n) and repackaging the macro-services (426a, ..., 426n) in accordance with the target application code. Thereby, updating components of the integration application environment as per the forecasted assessment statistic (302) and the re-factored code and thus migrating the integration application environment to the target application environment while re-platforming the updated components and the re-factored code of the integration application environment to the target application environment.

The invention relates to the technical field of computer software demand analysis and automation, and discloses an automatic writing method and system oriented to demand analysis, and the method comprises the steps: constructing a domain knowledge graph containing a component mutual exclusion and dependency relationship, and deducing and generating a component compatibility matrix; converting the unstructured demand text into structured features by using a natural language processing algorithm; generating a virtual configuration list in combination with the atlas, and performing conflict detection based on a compatibility matrix and a supervision protocol; when violation is detected, the topological connectivity is quantified by calculating the sum of in-degree and out-degree of the component in the map, and the component is retrieved and replaced according to the topological connectivity for automatic correction; monitoring a change event, calculating an influence domain by using a weight conduction algorithm, and triggering local re-verification; and finally, generating a descriptive text, and executing consistency check by reversely extracting numerical values. According to the method, the configuration verification efficiency and the correction stability are improved through matrix operation and topology analysis, and the accuracy of the demand analysis document is ensured.

The present disclosure provides a data processing method and device, electronic equipment and computer readable storage medium, the method comprising: obtaining configuration information to be processed, wherein the configuration information is information for indicating target data to be deleted; generating a target deletion execution instruction according to the configuration information; sending the target deletion execution instruction to a database storing the target data based on a preset data operation interface, the database being configured to precompile the target deletion execution instruction, wherein the preset data operation interface supports placeholders and precompilation of the target deletion execution instruction; and deleting the target data in the database according to the target deletion execution instruction. According to the embodiments of the present disclosure, the target data in the database can be conveniently and efficiently deleted.

This invention discloses a method and system for processing personnel information for business administration based on big data, relating to the field of personnel information data processing technology. The method includes the following steps: acquiring personnel information; preprocessing the personnel information to obtain preprocessed text information; processing the preprocessed text information through an embedding layer based on a CNN-BERT model to obtain a word vector matrix; processing the word vector matrix sequentially through a CNN convolutional layer, pooling layer, and fully connected layer to obtain structured data; using an improved ant colony optimization algorithm to perform path optimization for multi-condition combined queries on the structured data to obtain the globally optimal retrieval path; retrieving personnel information that satisfies the multi-condition combined query from the structured data based on the globally optimal retrieval path; and adaptively updating the global pheromone of the improved ant colony optimization algorithm after each round of multi-ant colony collaborative search to accurately locate the target personnel information.