15 results about "Complex data type" patented technology

The invention belongs to the technical field of new-generation information, and particularly relates to a power plant metal supervision entity relationship extraction method based on dual coding, which comprises the following steps: multi-modal data preprocessing: collecting and cleaning data, and carrying out data labeling; constructing a dual coding joint learning model: designing a network layer architecture, and training the dual coding joint learning model; constructing and querying a dynamic knowledge graph: extracting a model to generate a triple, and performing time sequence evolution analysis, causal reasoning interface and dynamic updating; and incremental knowledge updating and dynamic model optimization: an incremental learning and feedback module forms a bidirectional closed loop between the knowledge graph and the relationship extraction model, and continuous evolution of the system is ensured through dynamic knowledge updating and adaptive model optimization. According to the method, through bidirectional feature modeling of dual paths, collaborative representation optimization between entities and relationships is realized while context information is captured, so that the requirements of complicated data types and diversified semantic associations in an engineering scene are met.

The invention discloses a food quality traceability edge calculation-oriented production process data set construction method and system, and the method comprises the steps: carrying out the collection and uploading of key information in a food production process, and carrying out the classification of key data in a production process; and carrying out data processing on the key data to obtain a processed edge side JSON data set and a processed cloud JSON data set, and finally, carrying out association fusion on the obtained edge side JSON data set and the obtained cloud JSON data set according to an identification feature corresponding relation of a product to obtain a food traceability production process data set. According to the invention, the problems of inaccurate traceability data and the like caused by wide related span of traceability information and complex data type in the food production process can be effectively solved.

The invention relates to a method for realizing a dynamic complex data type field by an online table, which comprises the following steps of: 1, defining the configuration of the online table by metadata Metadata, and defining the name and the field information of the data table by the metadata; 2, the table metadata and the field metadata of the table metadata are stored in a metadata collection metadata resource set in a database; 3, a table data storage module achieves efficient management through the database, and each table corresponds to one collection in the database and is used for storing all records in the table; and 4, on the basis of field metadata configuration, in combination with the incidence relation table, ensuring the accuracy and the real-time performance of the data through a dynamic calculation mechanism. The problem that the flexibility of cross-table data association, dynamic data reference and aggregation calculation is insufficient when dynamic complex data type fields are processed in an online table is solved. Complex field types can be easily defined, query efficiency is improved, storage space use is optimized, and system consistency is improved.

The invention discloses a 5G hierarchical multi-granularity variation fuzzy test device and method, a protocol field intelligent variation module selects a variation strategy according to a basic data type field and a complex data type field, and a state transition module performs state transition on a target network element and sends variation data. The state monitoring module monitors the running state of a target application and records a variation data packet causing problems of the target application, and the protocol IE fine granularity fuzzy testing module performs fuzzy testing with a message element as a basic granularity aiming at a structure cell of a protocol. The protocol single-state fuzz testing module performs fuzz testing with a protocol single state as granularity aiming at a conversion state of a protocol to complete state security detection, and the protocol approximate full-interaction state fuzz testing module finds out potential vulnerabilities by traversing an approximate full-interaction state of a target protocol to complete state security detection. Omnibearing fuzzy testing is carried out on a mobile communication network protocol through a plurality of modules, so that the protocol security is checked, and protocol vulnerabilities are found in time.

The invention discloses an emotion analysis method and device, a storage medium and electronic equipment, and relates to the technical field of data processing, and the method comprises the steps: obtaining multi-dimensional text feature information of target financial text data; identifying a data type corresponding to the target financial text data according to the multi-dimensional text feature information; under the condition that the data type is a complex data type, performing emotion analysis on the target financial text data through a plurality of language recognition agents and a plurality of financial information agents; and performing fusion analysis on the emotion information obtained by analysis of the plurality of language recognition agents and the plurality of financial information agents, and generating target emotion information corresponding to the target financial text data. According to the method, the target emotion information corresponding to the target financial text data is generated by performing fusion analysis on the emotion information obtained by analyzing the plurality of language recognition agents and the plurality of financial information agents, so that targeted processing of different types of data can be realized, and the accuracy of emotion analysis is improved.

The invention provides an objectification-based resource collaborative management implementation method, which relates to the technical field of aviation industry, and comprises the following steps: S1, data objectification, S2, product data object template definition: configuring an attribute field of a business data object, configuring a coding rule of the business object, and defining a template of the product data object based on the configured attribute field, s3, resource management: creating a personal workspace based on the selected product, and creating a folder in the workspace, and S4, creating a product data object. According to the objectification-based resource collaborative management implementation method, complicated data types of the aviation industry are abstracted to form object resource data stored in a bottom layer, collaborative design and development of product data and classification and management of the product data according to modules are facilitated in an object resource collaborative management mode, and the implementation efficiency of collaborative design and development of the product data is improved. The problems that product data are too dispersed and collaborative design and development are inconvenient are solved.

The invention discloses a configuration-driven dynamic form data retrieval and display system and method, and relates to the technical field of data management, the configuration-driven dynamic form data retrieval and display system comprises a front-end configuration layer used for providing operation interfaces for a business administrator and a business user and comprising a field configuration interface and a data query and export interface, and an API interface layer used for providing a data query and export interface for the business administrator and the business user. The field configuration module is used for providing a field configuration management interface and a data query and export interface and comprises a field configuration controller and a data query controller. Data are synchronized to a search engine from a relational database, the complex query and full-text retrieval performance is greatly improved by utilizing an inverted index mechanism, the system realizes zero code configuration capability, query and display logic are driven through a field configuration table, business adjustment can take effect without code modification, and the system is simple in structure and convenient to operate. The powerful complex data type processing capability can intelligently analyze nested structures such as self-increasing lines and dictionaries and convert the nested structures into user-readable formats.

The invention discloses a high-speed laser transmission system and method for satellite-borne inter-cabin complex data types, the system comprises a platform inter-cabin laser communication terminal, the platform inter-cabin laser communication terminal comprises a first processor, at least two first photoelectric transceiver modules and a plurality of groups of first data transceiver modules; the load cabin inter-cabin laser communication terminal comprises a second processor, at least two second photoelectric receiving and transmitting modules and a plurality of groups of second data receiving and transmitting modules. The system is suitable for a satellite magnetic levitation type cabin body structure, and the platform cabin and the load cabin are isolated through magnetic levitation so as to realize high-precision attitude control; a laser communication technology is utilized to simplify an on-satellite data transmission scheme, transmission cables are saved, the weight is reduced, cable disturbance is isolated, meanwhile, multi-channel multi-rate data transmission, forward error correction and link self-adaptive reconstruction are supported, and the real-time performance and reliability of data are ensured.

The data processing technical scheme provided by the embodiment of the invention is applied to a memory manager, the memory manager comprises a memory container with a plurality of storage blocks, the storage blocks are used for storing data items, one data item is composed of a hash value of one piece of data and coded data, and the coded data is obtained by coding the piece of data. Therefore, when the target data needs to be stored, the hash value of the target data and the coded data form a data item to be written into a corresponding storage block in the memory container, and by adopting the data storage scheme, compression and storage of any complex data type and structure into the memory can be supported; and storage does not involve an object head, so that the garbage recycling cost can be reduced.

This invention discloses a method and apparatus for a virtual machine to read data from an external system and write data, relating to the field of computer technology. One specific implementation of the method includes: creating an address buffer within a smart contract running on the virtual machine; using the storage address of external data as an input parameter of the smart contract; reading external data from the storage address of the external data into the address buffer; wherein the storage address is of integer type; enabling the transfer of complex external data types to the smart contract executed by the Webassembly virtual machine. Another specific implementation includes: using the data address of the address buffer as an output parameter of the smart contract running on the virtual machine; passing the data address to an external system; wherein the output parameter is of integer type; after the external system creates an external buffer, copying the data from the data address to the external buffer; enabling the transfer of complex data types from the Webassembly virtual machine smart contract to the external system.

The present invention belongs to the field of artificial intelligence technology, and in particular relates to a microservice orchestration method, execution method, device and server. The method comprises: according to a preset script configuration template, according to the microservice interface information in the service orchestration file corresponding to the target microservice combination, generating a configuration file corresponding to each microservice interface; wherein the content of the configuration file includes the data processing logic corresponding to the microservice interface; compiling the configuration file to obtain an executable class file corresponding to the configuration file; hot loading the class file in a virtual machine, and executing the class file in the virtual machine according to the microservice interface information. Through the present invention, the processing function of complex data types is realized; through the dynamic hot loading and execution of the virtual machine, the adaptation of the configuration file can be completed quickly without the need for code development, thereby reducing the complexity and cost of the R&D process.

The application discloses a 5G layered multi-granularity variant fuzzy testing device and method, a protocol field intelligent variant module selects a variant strategy according to a basic data type field and a complex data type field, a state transition module performs state transition on a target network element and sends variant data, a state monitoring module monitors the running state of a target application, records variant data packets causing problems of the target application, a protocol IE fine-granularity fuzzy testing module performs fuzzy testing on the structure information elements of a protocol with a message element as a basic granularity, a protocol single-state fuzzy testing module performs fuzzy testing on the conversion state of a protocol with a protocol single state as a granularity, state safety detection is completed, and a protocol approximate full-interaction state fuzzy testing module finds out potential weak points through approximate full-interaction state traversal of a target protocol, so that the mobile communication network protocol is subjected to all-round fuzzy testing through multiple modules, thereby checking protocol safety and discovering protocol vulnerabilities in time.

The invention relates to an API (Application Program Interface) document generation method and system based on Java bytecode static analysis, which thoroughly get rid of the dependence on the environment when an application program runs by directly reading a JAR / WAR packet and carrying out static analysis on a bytecode file. This means that the API document can be generated immediately after the code is compiled and packaged, the efficiency and flexibility of document generation are greatly improved, and the API document can be more easily integrated into a DevOps process. All complex data types in the input parameter and the output parameter of the method can be recursively analyzed by utilizing the method signature, the field information and the generic information obtained by the byte code level. Through accurate analysis of method signatures and mapping of class generic parameters, even a deep nested generic structure can be accurately identified and analyzed to class definitions in a dependency library. And based on analysis of the annotations in the byte codes, the flexibility is high, and the expansibility is high.

The invention discloses a WebAssessment type inference method and device based on an enhanced semantic map, and a storage medium. Firstly, deep memory access semantics are extracted from WebAssembly binary codes, then an enhanced semantic graph containing access mode clustering, dependency chain analysis and type propagation paths is constructed, finally, the semantic graph is converted into high-precision type definition and data structure layout, and accurate inference of a complex data structure is achieved. Specifically, deep semantic association can be found from a seemingly irrelevant memory access sequence, and a logic structure of an original program is reconstructed. According to the method, through the construction of the enhanced semantic map, a complete definition including a nested structure, a complex, an array and other complex data types can be accurately identified and reconstructed, and the reverse analysis precision of WebAssembly codes is remarkably improved.