7 results about "Attribute domain" patented technology

The application provides a form page design platform and a construction method thereof and a form page construction method. The construction method comprises the following steps: acquiring and analyzing a scene design requirement input by a user to determine an analysis result; determining one or more form design scenes of at least one granularity type according to the analysis result; performing attribute merging on each form operation scene according to preset common field attributes by using a preset merging rule to determine a reuse attribute domain corresponding to each form operation scene; determining a plurality of abstract behavior units according to user behaviors corresponding to each form design scene; and constructing the form page design platform according to each reuse attribute domain and each abstract behavior unit of each form design scene by using a preset interface design framework. The form page design platform constructed in this way can reuse a field attribute in multiple scenes once a field attribute is defined, thereby solving the technical problems of complex development process and lack of flexibility in the prior art form development technology.

The invention discloses a population data generation method and device and a computer readable storage medium, and the method comprises the steps: carrying out the conversion of an initial population sample from an attribute domain to a copula domain, obtaining a copula domain sample, carrying out the vectorization coding representation of the copula domain sample, and obtaining a matrix sample; performing diffusion model training and sample generation based on the matrix sample to obtain a new matrix sample; and decoding the new matrix sample to obtain a copula domain vector sample, and performing quantile function mapping on the copula domain vector sample to obtain an attribute domain demographic data generation sample. According to the method, the initial population sample is converted to the copula domain, the correlation mode between the attribute variables is reflected through the copula density function, the influence of edge distribution is avoided, the intrinsic dependency constraint relation between the variables can be effectively captured, and the population sample data with high feasibility and diversity is generated.

A recommendation method includes the following steps: constructing a user project interaction graph under behaviors based on an interaction between a user and a project under a plurality of behaviors; performing decoupling attribute domain characterization processing on the user project interaction graph to obtain project decomposition embedding corresponding to a project node and user decomposition embedding corresponding to a user node in a plurality of decoupled attribute domains; for the plurality of attribute domains corresponding to the user project interaction graph, calculating an attention score between the user node under the attribute domains and a project node adjacent to the user node based on the project decomposition embedding and the user decomposition embedding.

The invention discloses a data modeling method and device for demand modeling in software development, equipment and a medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring enterprise-level business data; dividing and establishing an enterprise subject domain model based on the business domain; for each subject domain model, forming an enterprise concept data model; mapping the business concepts into business entities, defining entity relationships among the business entities, and determining attributes and attribute domains for the business entities; dividing the plurality of attribute domains into an attribute domain group, and determining an attribute domain instance for the attribute domain belonging to the code class; forming an enterprise logic data model based on the business entity, the entity relationship, the attribute and the attribute domain; generating an application physical data model based on the enterprise logic data model; wherein the enterprise concept data model is visually presented to business personnel in the form of a classification hierarchy graph; and presenting the enterprise logic data model to technicians in the form of an entity relation graph. The data quality of an enterprise is improved.

The embodiment of the invention relates to the technical field of artificial intelligence, and discloses a method and related equipment for generating codes based on a multi-semantic-domain domain-specific language, the method comprises the following steps: receiving a formalized protocol file describing a financial system, the protocol file is written based on the multi-semantic-domain domain-specific language, and the formalized protocol file is written based on the multi-semantic-domain domain-specific language; the semantic domain at least comprises an entity domain, a transaction domain, a strategy domain and an attribute domain; operating a protocol processing engine to analyze the protocol file, extracting system-level attributes, and generating a structured code generation instruction through a multi-layer prompt template; calling an artificial intelligence code generation model to generate a source code; and abstracting behaviors of the source code into a finite state model, performing exhaustive verification on the finite state model based on system-level attributes, and outputting the source code as a qualified source code after the verification is passed. By means of the mode, the reliability, safety and compliance of code generation in the financial field can be improved.

The application provides a layered DPoS-based multi-chain architecture and a data access method. The layered DPoS-based multi-chain architecture comprises: a plurality of attribute blockchains, each corresponding to an attribute subdomain divided by mutual exclusion, each attribute blockchain being maintained by a corresponding attribute committee and being used for recording data access control transactions in the attribute subdomain; wherein each attribute committee internally elects a verification node through a first layer of layered DPoS consensus, and the verification node performs consensus confirmation on transactions on the attribute blockchain; a global verification chain is in communication connection with each attribute blockchain, and is used for performing final consensus confirmation on transactions on each attribute blockchain that are confirmed by the first layer of consensus through a second layer of layered DPoS consensus, and maintaining global state consistency across attribute subdomains. The global state consistency across domains is efficiently maintained when multi-attribute domain data sharing is processed, and the system scalability is improved.

The present application relates to the technical field of data classification, and particularly relates to a performance testing method and system of special cable for petrochemical system, comprising: performing quantile transformation on cable performance testing data and dividing the cable performance testing data into multiple feature subsets according to attribute domains, presetting multiple groups of candidate kernel parameters for each feature subset and generating parallel candidate feature representations through kernel principal component analysis, constructing a probability shadow set model for the candidate feature representations, transforming the probability shadow set model to obtain membership degrees by using a Gaussian membership function, calculating local outlier factors and converting the local outlier factors into local uncertainty weights to adjust the membership degree threshold, and then dividing positive domains, negative domains and boundary domains, generating basic probability assignment functions according to the division results, selecting a feature representation combination with the minimum total evidence conflict coefficient as an optimal model, and outputting a cable performance analysis conclusion. The present application can adjust the domain division boundary according to the local distribution characteristics of data points, and reduce the evidence conflict in the multi-granularity fusion process.