11 results about "Data independence" patented technology

The invention relates to the technical field of electrical variable measurement, solves the technical problems that in the prior art, path planning is lack of dynamics, mechanical wear is caused by frequent acceleration and deceleration of a probe, and key features are easy to omit in a complex multi-path environment, and particularly relates to a method and system for coping with an antenna performance test and a storage medium. The method comprises the steps of collecting target test frequency point data and standard signal modulation data of a target antenna, and generating synchronous excitation signal data through multi-dimensional signal processing and synchronous adjustment. The sampling efficiency and the data quality are remarkably improved through multi-stage collaborative optimization, a sampling domain is primarily selected in combination with a theoretical directional diagram and interference distribution, and the synchronous excitation signal data are generated. The method has the advantages that invalid area measurement is avoided, learning is reinforced to dynamically plan a path to reduce mechanical loss, redundancy is reduced by refining point locations, data independence and coverage are ensured by weighted evaluation, adaptability in a dynamic channel environment is higher, and the method is particularly suitable for millimeter wave and other high-dimensional antenna test scenes.

The invention provides an object storage volume management method, device and equipment and a readable storage medium, and the method comprises the steps: responding to a write-in request associated with a clone volume, and obtaining a data state of a data object in the clone volume associated with the write-in request; writing data associated with the write-in request in a data area associated with the write-in request in a data object according to an acquisition result that the data state of the data object in the clone volume associated with the write-in request is unready; and marking or keeping marking the data object as a clone object. Through the technical scheme of the specification, the state of the data object is dynamically identified, and local writing and marking are carried out when necessary, so that the overhead of reading and copying full data in copy-on-write is avoided, the writing delay of the clone object is remarkably reduced, the writing operation performance is improved, and meanwhile, the data independence and the space efficiency of the clone volume are kept.

The application discloses an intelligent Internet of Things gateway system supporting edge computing deployment functions, and relates to the technical field of Internet of Things application.The gateway has wide adaptability, can be applied to various application scenarios such as intelligent factories, smart homes and smart agriculture, realizes end-to-end capability from a sensing device to an application, guarantees data independence and security, can flexibly deploy functions in gateways of different levels according to requirements, provides edge computing capability, supports unified access of heterogeneous devices, provides various deployment modes, and is high in flexibility, dynamically establishes a route between data and an application, realizes flexible integration of data transmission and processing, and realizes loose coupling between Internet of Things applications and between Internet of Things applications and the gateway.

This specification discloses a method, apparatus, storage medium, and electronic device for processing deployment tests. The method includes: monitoring service strategy experiment status data and constructing and managing a wide table of user traffic deployment experiment records; upon receiving a target strategy deployment request, obtaining a target set of test user entities, performing pre-contact conflict detection based on the wide table, and removing and isolating entities overlapping with already run test experiments; during the test run phase, periodically monitoring the wide table and the target set, performing runtime conflict detection, and triggering anomaly warnings; after the experiment, performing data overlap detection on the experimental group and the control group, and generating an experimental data independence test report based on the overlap information. This specification embodiment achieves automated conflict management throughout the entire test task lifecycle, effectively avoiding traffic pollution between concurrent experiments on the platform, and improving the independence of experimental data and the confidence of the final results.

The application discloses a kind of factory outside warehouse allocation, warehousing, warehouse and cargo right transfer integrated implementation method based on table value parameter, belong to industrial intelligent manufacturing and ERP / MES integrated management technical field.The application adopts heavy back end, light front end architecture, with custom table value parameter as unified data transmission carrier, through single storage procedure centralized control allocation, warehousing, warehouse, auditing, cargo right transfer and other full-service operations, all write operations are included in database atomic transaction guarantee data consistency.With core business wide table as data backbone, through only batch number, document number realizes factory warehouse and factory outside warehouse full-link data through, innovatively realizes the management mode of cargo right transfer and physical warehouse separation, while supporting warehouse information and enterprise organization post information automatic linkage, front end only retains extremely simple interactive function.The application solves the pain points of traditional factory outside warehouse management data independence, interface dispersion, batch operation inefficiency, poor data consistency and cargo right transfer limitation, has been completely landed in actual industrial MES / ERP integrated system, with the advantages of stable architecture, efficient processing, strong maintainability, industrialization promotion value is outstanding, suitable for manufacturing enterprises factory outside warehouse large-scale, standardization, intelligent operation demand.The application has been completely landed in actual industrial ERP system, can be long-term stable operation in real production environment, with mature engineering value and industrialization promotion ability.

The invention discloses a productization method of a Flowable workflow engine. The productization method comprises the following steps: carrying out multi-data source configuration based on a Springboot framework; determining an authority system introduction mechanism; and uniformly opening interfaces. The isolation of the double data sources ensures the data independence of the engine service and the business service, avoids mutual interference, and improves the security and processing efficiency of the data. According to the method, a clear permission introduction path is established, generation of permission vulnerabilities is avoided, only authorized users can perform corresponding operation on the workflow, and the security and reliability of the system are improved.

This invention discloses a method for spatial domain filtering and spectrum correction of broadband signals in the mode domain of a circular array. The method involves performing a Discrete Fourier Transform (DFT) on the received time-domain data to obtain the array element frequency domain data. The broadband signal frequency band data is then extracted and subjected to a Circular Fourier Transform (CFT) to obtain the sub-band data in the mode domain. The distance between frequency points and the zeros of the Bessel function within the broadband signal frequency band is calculated, and a zero-point correction method is used to replace the frequency points. Sub-band frequency points in the mode domain are selected according to the correction results. The sub-band weighting vectors for mode domain beamforming are obtained according to the minimum variance and distortion-free criterion for data independence, and the beamformer is calculated. The sub-band data in the mode domain are weighted and summed based on the weighting vectors of each sub-band to obtain the beam output frequency domain data. Zeros are padded at all frequency points except for the broadband signal frequency domain data. An Inverse Fourier Transform is then performed on the beam output frequency domain data to obtain the beamforming output data sequence. This invention effectively preserves the original spectral components of the broadband signal while improving the signal-to-noise ratio.

This disclosure pertains to a cutting-edge mission orchestration platform designed to address deficiencies in mission data management and processing, ensuring data autonomy and integrity. It involves the novel use of multi-layered inference pathway protocols for the autonomous arbitration of artificial intelligence (AI) models to manage and process mission data. This advanced approach of deploying multi-layered inference pathway protocols facilitates extremely fast data self-organization, enhances data independence in mission platforms, maintains high data integrity, and accelerates the extraction of actionable intelligence from diverse data types sourced in mission orchestration.

The present disclosure relates to a sharp end mission orchestration platform, aiming to address the shortcomings in mission data management and processing, ensuring the autonomy and integrity of data. The platform involves a new application of a multi-layered reasoning path protocol for autonomous arbitration of artificial intelligence models to manage and process mission data. This advanced approach of deploying a multi-layered reasoning path protocol facilitates extremely fast data self-organization, enhances data independence in the mission platform, maintains high data integrity, and accelerates the extraction of actionable information from various data types obtained from mission orchestration.

The invention provides a scalar multiplication operation system and method based on Montgomery, and relates to the field of cryptographic algorithm implementation. According to the technical scheme, a Montgomery scalar multiplication algorithm is adopted to execute point addition and point multiplication operation in parallel, in the operation process, participation of y coordinates is not needed, only one-time y coordinate operation needs to be carried out after the point addition and point multiplication operation is finished, data independence in the point addition and point multiplication operation process is analyzed, the proposed scheduling process is adopted, and the scheduling efficiency is improved. The parallelism of multiplication and modular reduction operation can be remarkably improved, and the calculation efficiency of the algorithm is improved.

The present application provides a task variable causal graph construction method and apparatus, a device, and a medium. The method includes: obtaining a variable set and application task information corresponding to a target application task; determining priori knowledge by using a large language model based on the variable set and the application task information corresponding to the target application task; and determining a best causal graph by using a Monte Carlo tree search method based on the priori knowledge and data independence tests, where nodes in the best causal graph correspond one-to-one to the variables in the variable set, each edge in the best causal graph represents a causal relationship between variables corresponding to two nodes connected by the edge, and the best causal graph is used for root cause analysis of a downstream task. The present application improves the accuracy of causal graphs and the effectiveness of downstream tasks.