14 results about "Multi level data" patented technology

A computer-implemented method of using a multi-level (ML) data chain protocol to embed a data chain on a core blockchain, comprising: obtaining one or more ML transactions, wherein each ML transaction comprises one or more carrier pairs, each carrier pair comprising an input and an output, wherein each output comprises data associated with the data chain, and wherein each input comprises a signature that signs the carrier pair; generating a first ML block of the ML data chain, wherein the first ML block is a core blockchain transaction and comprises the respective carrier pairs of the obtained one or more ML transactions, wherein for each carrier pair, a respective position index of the respective input corresponds to a respective position index of the respective output, and b) a first chain output, wherein the first chain output is for being spent by a respective chain input of a subsequent ML block.

The invention provides a data storage and reading method, device and equipment, and the data storage method comprises the steps: extracting the features of to-be-stored data, and applying for an index storage position in a traversed current data volume according to a level sequence from a higher level to a lower level, when it is determined that first to-be-stored data which does not meet the data similar compression condition exists, the first to-be-stored data is written into an applied target storage position, and the target storage position is written into an index storage position; when it is determined that second to-be-stored data meeting the data similar compression condition exists, the second to-be-stored data is compressed, the to-be-stored data is updated, the index storage position applied by the to-be-stored data in the next-level data volume is written into the current data volume, and if the level of the current data volume is the lowest level, the next-level data volume is created, and a data storage instruction is triggered. Through the method, the to-be-stored data is stored after being subjected to multi-stage compression based on the multi-stage data volume, so that the compression rate of the data is improved.

An improved data system supports creation of multiple hierarchical database catalogs under a particular account. Users or organizations have the flexibility to organize their data, native or external, into an n-level hierarchy of their choice. There is a root database catalog of the account, and other catalogs (1 or n-levels) are created under it. The data system has extract, transform, and load (ETL) features that allows data to be moved between different data sources and targets.

This invention provides an arithmetic circuit that calculates the product of weight coefficients, which are analog or multi-level data, and data. [Solution] In the arithmetic circuit MAC2, transistors F2 and F2m are operated in the subthreshold region, and a wiring VE is provided that flows a current corresponding to the product of the weight coefficient and the data between the source and drain of the transistors.

An improved data system supports creation of multiple hierarchical database catalogs under a particular account. Users or organizations have the flexibility to organize their data, native or external, into an n-level hierarchy of their choice. There is a root database catalog of the account, and other catalogs (1 or n-levels) are created under it. The data system has extract, transform, and load (ETL) features that allows data to be moved between different data sources and targets.

The present application relates to an interactive concurrency method, and parallel processing method and apparatus for multi-level data transmission and data computation of big data or large models. In order to achieve the timeliness of big data or large model multi-access data transmission and multi-task computing, three application modes of a multi-level site / node remote, short-range and local remote / local short-range data communication system and a supercomputer / processor / computing core cluster having distributed computing resources are established. The interactive concurrency method establishes a data block forwarding and computing mechanism, uses relatively short time to complete big data or large model multi-level site / node concurrent transmission, and aggregates computing power of sites / nodes to complete big data or large model computing tasks, and thus has extremely high data transmission and computing benefits. The present application efficiently satisfies the demands on different application types of super-computing power for big data or large model multi-access data communication and multi-task computing.

The invention relates to the technical field of data processing, and discloses a multi-domain multi-level data feedback method and device. The method comprises the steps of confirming data request information needing to be fed back; according to the data request information, establishing a binding relationship between the multi-level through data block and the reverse feedback link block; and obtaining request data needing to be fed back according to the binding relationship. According to the method, the data request information is confirmed, and the binding relationship between the multi-stage through data block and the reverse feedback link block is established, so that the accurate matching of the data composition form and the stack path is realized, the data feedback range is defined, the controllability of the data flow direction is ensured, and the data security and reliability are improved.

This invention discloses a multi-level data directory processing method and apparatus for a trusted data space. The method includes: a client receiving a data query request initiated by a user and sending it to a general data directory node; the general data directory node obtaining an industry code; obtaining an industry data directory service address based on the industry code, and sending the query request to the industry data directory node based on that address; the industry data directory node obtaining metadata and a master data code, obtaining an industry master data service address based on the master data code, and sending the query request to the industry master data service node based on the industry master data service node address; the industry master data service node retrieving the master data and sending it to the industry data directory node; the industry data directory node returning the master data and metadata; and the general data directory node assembling the general data directory, metadata, and master data and returning it to the client. This invention can reduce the load on the general data directory and lower system maintenance pressure.

A computer-implemented method of using a multi-level (ML) data chain protocol to embed a data chain on a core blockchain, comprising: obtaining one or more ML transactions, wherein each ML transaction comprises one or more carrier pairs, each carrier pair comprising an input and an output, wherein each output comprises data associated with the data chain, and wherein each input comprises a signature that signs the carrier pair; generating a first ML block of the ML data chain, wherein the first ML block is a core blockchain transaction and comprises the respective carrier pairs of the obtained one or more ML transactions, wherein for each carrier pair, a respective position index of the respective input corresponds to a respective position index of the respective output, and a first chain output that is for being spent by a respective chain input of a subsequent ML block.

A method for visual representation includes receiving a point cloud of an environment. The method also includes processing the point cloud at multiple levels of detail to produce multi-level data, the multi-level data including simplified geometric descriptions of the point cloud and / or a subset of points of the point cloud. The method further includes forming intermediate representations based on the multi-level data. The method still further includes determining features for the intermediate representations based on the simplified geometric descriptions and / or the subset of points. The method also includes generating a visual representation of the environment based on the determined features.

A method and apparatus for computer operation improvement by flattening multi-level data structures to optimize pointer chase is provided. Within computer program code, one or more chains of multiple pointers which ultimately reference stored information to be processed are identified. These chains are analyzed to determine the feasibility of replacing the chains with a flatter data structure. In the flatter data structure, the stored information is accessible more directly. For example the data may be stored in a single array by which it can be accessed directly. When feasible, a chain is replaced with such a data structure and the computer program code is adjusted to implement the improved data structure in place of the associated chain. Candidate chains can be identified or prioritized for example on the basis of the expected impact to computer performance, e.g. in terms of operating speed or resource usage.

The invention provides a multi-stage data backflow system and method supporting multiple modes. The multi-stage data backflow system comprises an intelligent task scheduling engine, a full-amount synchronization module and an increment synchronization module. The intelligent task scheduling engine is used for determining a data backflow mode based on the data features of the first-level data source and a preset rule; wherein the data backflow mode comprises a full-amount mode and an incremental mode; if the data backflow mode is a full-amount mode, the full-amount synchronization module is used for segmenting full-amount data and synchronizing the segmented data to a second-level node and a third-level node; and if the data backflow mode is an incremental mode, the incremental synchronization module is used for acquiring incremental data based on the database log and the upstream business system change notification, and synchronizing the incremental data to the second-level node and the third-level node. The method can intelligently adapt to different data scenes, and the data synchronization efficiency is improved.

The invention discloses an education management platform fusing multi-level data, and particularly relates to the field of education informatization, and the platform comprises a terminal collection module which is used for collecting an evaluation record, an IEP record, a teaching record, a teaching and research record, a training record and a supervision record, and outputting a process record with an object identifier, an item identifier, a record content and a time identifier; and the edge decoupling module is used for receiving a process record at an edge computing node, constructing a process tensor according to an object identifier, an item identifier and a time identifier, performing tensor decomposition on the process tensor to obtain decomposition factors representing object continuation, item continuation and time sequence continuation respectively, and outputting a corresponding process factor sequence. According to the method, field change content is extracted from front and back process records, a process factor sequence is generated, an action chain is constructed, actual effect verification is carried out in combination with inheritance probability, deviation and a convergence relation, and the process record which truly causes subsequent changes and the form record which only completes trace leaving can be relatively distinguished.

The invention provides a multi-level data backflow account checking method and system, electronic equipment and a medium, and the method comprises the steps: obtaining a backflow task information summary table when a main platform synchronizes backflow data to each secondary platform; after each secondary platform receives the backflow data, generating a backflow reconciliation table of each secondary platform based on a preset reconciliation strategy, and reporting the backflow reconciliation table to the main platform; and the main platform integrates the backflow reconciliation tables and the backflow task information summary tables of the secondary platforms to obtain reconciliation data, and performs multi-dimensional analysis on the reconciliation data to obtain a reconciliation analysis result. According to the invention, the efficiency of backflow reconciliation can be improved, and the timeliness and integrity of data backflow are improved.