18 results about "Identity column" patented technology

The embodiment of the present application provides a method, device, equipment, and medium for sorting function identifiers based on business development tools, which belongs to the field of financial technology. The method includes: obtaining business attribute data, target object attribute data, target object location data, and historical identification operation data of the target object; retrieving retrieval object data based on the target object location data and business attribute data; sorting candidate function identifiers based on the target object location data, retrieval object location data, and retrieval object type to obtain an initial identification list; performing retrieval enhancement on the initial large language model based on the historical identification operation data and target object attribute data to obtain a target large language model; sorting the retrieval object attribute data and the initial identification list according to the target large language model to obtain a target identification list. The embodiment of the present application can improve the accuracy of sorting function identifiers corresponding to business modules in the pages of business development tools.

The application provides a kind of based on table template multi-source data fusion and display method, comprising: by visual table tool setting initial table template mapping rule, mapping rule includes setting first data source column, second data source column and unique identification column;According to mapping rule, obtain first data source data, and fill first data source data into first data source column in initial table template, obtain first table template;According to first table template, obtain second data source data entered;According to unique identification column, first data source data and second data source data are matched and fused, and fusion data is obtained;Fusion data is visually displayed.The application realizes the automatic matching and fusion of multi-source data by the rule mapping of unified table template for multi-source data, and solves the problems of multi-source data fusion difficulty, multi-source data query difficulty and report generation complexity by using visual table tool to display fusion results.

The embodiment of the invention provides a database authentication method and device, and relates to the technical field of database security, in the method, a user state system table is set in a first relational database; the first relational database receives a login request sent by a first user; if the locking state of the first user in the user state system table is a locked state, sending a first login response to the first user; if the locking state of the first user in the user state system table is an unlocked state, authenticating the first user; if the authentication fails, the login failure frequency of the first user in the user state system table is smaller than the preset prompt frequency, and the common login identifier list of the first user comprises the current login identifier of the first user, outputting a login prompt character string of the first user in the user state system table; and when a second login request sent by the first user is received, authenticating the first user. According to the scheme, the security of the relational database can be improved.

The present application relates to the technical field of artificial intelligence, in particular to a multi-path RAG context weighted enhanced retrieval driven NL2SQL generation method and device. The method comprises the following steps: receiving and preprocessing a natural language query text of user input to obtain a multi-dimensional query vector; performing multi-path context retrieval in parallel based on the multi-dimensional query vector to obtain a retrieval result set; assembling the retrieval results of the retrieval result set into system prompt words and inputting the system prompt words into a large language model to obtain SQL generation instructions returned by the large language model; and executing the SQL generation instructions. Through virtual key markers and virtual key coverage rules, when a filtering condition string contains a virtual key marker, the large language model is instructed to generate a filtering condition using a text value in an equal comparison and to switch to an identification column and identification value to generate a filtering condition in a range comparison, so that the large language model can generate a correct SQL statement in a range comparison query without understanding the underlying ID coding, thereby solving the problem of understanding the underlying ID coding of the large language model.

Provided is a data processing device comprising: a duplication unit that duplicates a first table in which data to be analyzed is stored to generate a second table; a linking unit that generates a new third table by cross-linking the first table and the second table on the basis of an identification string for identifying the data; a computation unit that, in the third table generated by the linking unit, computes the difference between a column of explanatory variables in the first table and a column of explanatory variables in the second table, and stores the difference in a column newly generated in the third table; and an extraction unit that extracts a feature amount with respect to the column generated by the computation unit.

The application provides a data query method and device, equipment and a storage medium. The method comprises the following steps: in response to a data query request obtained, obtaining an available label query list from a label management service device; in response to a selected operation on a target available label identifier and a target available label value corresponding to the target available label identifier, obtaining an available index identifier list from the label management service device; in response to a selected operation on any target index identifier, querying target monitoring data according to the target index identifier, the target available label identifier and the target available label value; and displaying the target monitoring data. The application adds a label management service in a monitoring system to provide a user with selectable items of label identifiers and label values, so that the user can use the selectable items of label identifiers and label values to perform a data query operation, thereby reducing the difficulty of data query, simplifying the data query operation and improving the data query efficiency.

The embodiment of the invention provides a two-party database JOIN operation method and system based on Circuit-PSI, and belongs to the technical field of computers. The method comprises the following steps: appointing a plurality of hash functions and a cuckoo hash table; the two participants respectively execute cuckoo hash calculation and multi-function hash calculation on key columns of respective data tables to obtain corresponding filling tables and mapping results; based on the filling table and the mapping result, a batch programmable pseudo-random function protocol and a security comparison protocol in the Circuit-PSI protocol are operated, and a secret sharing numerical value column corresponding to the key in the intersection is obtained; and on the basis of taking the identification column as a control signal, respectively executing two-way selection operation in secure multi-party calculation on each row of the secret shared value column to form a JOIN result table. According to the scheme, intersection judgment and result splicing of the data tables of the two parties are efficiently completed under the privacy protection condition, original data leakage is avoided, and calculation and communication overhead brought by complex cryptography operation is reduced.

Embodiments of the present application provide a method for data lineage analysis, a processor and a storage medium. The method comprises: obtaining a structured query language script to be analyzed, the structured query language script comprising at least one structured query statement; parsing the structured query language script to generate an abstract syntax tree corresponding to the structured query script, wherein the abstract syntax tree comprises different types of identifiers and identifier lists; splitting the abstract syntax tree using a segmented search method to obtain a plurality of sub-statements of the abstract syntax tree; determining a lineage data target table and an identifier included in the abstract syntax tree according to the plurality of sub-statements; and in the case where the abstract syntax tree is split, parsing the abstract syntax tree according to the lineage data target table and the identifier to obtain the lineage data of the structured query language script.

The invention relates to an Excel file parallel analysis method and an Excel file parallel analysis system based on DataX and EasyExcel. The method comprises the following steps of: receiving and analyzing DataX Job configuration parameters, wherein the DataX Job configuration parameters comprise an Excel file path, a to-be-analyzed Sheet identifier, a column mapping rule, a data type definition and parallelism degree configuration information; dynamically decomposing the analysis task into a plurality of independent sub-tasks based on the structure and parallelism degree configuration information of the Excel file; the subtasks are distributed to an idle Task thread to be executed through a DataX coordinator; independently calling an EasyExcel analysis engine by each Task thread, and analyzing the Sheet or row block data corresponding to the allocated sub-task; and transmitting the analyzed data to a Writer plug-in through a Channel mechanism of the DataX to complete synchronization. According to the method, the concurrence limitation of an EasyExcel single file is broken through, DataX parallel scheduling and EasyExcel high-performance analysis are utilized, multi-dimensional parallel acceleration is achieved, the method has the advantages of data integrity, low resource consumption and flexible configuration, DataX ecology is seamlessly integrated, and the Excel data processing efficiency is remarkably improved.

In accordance with one example of an embodiment of the invention, a method performed by a UE comprises receiving (202) an MDT configuration comprising a list of NPN identities and transitioning (204) to an idle or inactive state. Upon transitioning to an idle or inactive state, the UE collects (206) MDT measurements based on the MDT configuration. The UE transitions (208) to any cell selection state, and upon transitioning to any cell selection state, determines (210) whether a previous suitable cell on which the UE resides before entering any cell selection state is broadcasting an NPN identity included in an NPN identity list. If a previous suitable cell on which the UE resides before entering any cell selection state is broadcasting an NPN identity included in the NPN identity list, the UE records (212) first information and measurement results associated with the previous suitable cell.

The invention provides a note association recommendation method and system based on abstract retrieval and LLM analysis, and relates to the technical field of artificial intelligence and natural language processing, and the method comprises the steps: receiving a user request, including a current note, and generating an abstract for the current note; performing vector retrieval based on the abstract, and obtaining a related note identifier list from a historical note library; generating a unique identifier based on the current note content and the related note identifier list; querying the cache by using the unique identifier, and returning a recommendation result if the cache is hit; if not, using the unique identifier to acquire the distributed lock, if acquisition succeeds, calling a large language model (LLM) to deeply analyze the current note and the note corresponding to the related note identifier list, generating a recommendation result, returning the recommendation result to the user, and releasing the distributed lock; and if the acquisition fails, executing the asynchronous retry process. According to the method, mechanisms such as double fingerprint caching, a distributed lock and exponential backoff retry are introduced, so that the cache hit rate and accuracy are improved, and efficient recommendation of associated notes is realized.

The application discloses a data update synchronization method and related device, the method comprises the following steps: after B+ tree data table of B+ tree database is synchronized to LSM tree database to obtain LSM tree data table, current B+ tree data update information of the B+ tree data table is acquired; wherein, the LSM tree data table comprises a deletion identifier column and a data version column; on the basis of the current B+ tree data update information, the inserted data, the deletion identifier field value and the data version field value corresponding to the inserted data are configured to obtain LSM tree data insertion information; and the LSM tree data insertion information is used to update the LSM tree data table. It can be seen that the current B+ tree data update information is converted into the LSM tree data insertion information, so that the LSM tree database performs a high-performance data insertion operation on the basis of the LSM tree data insertion information during data update, and the cost of synchronizing data update between the B+ tree database and the LSM tree database is reduced and the efficiency is improved.

The application belongs to the technical field of information security and data retrieval, and discloses a low-misjudgment cross-modal ciphertext retrieval method based on subset predicate encryption, wherein a data owner maps data of different modes to the same Hamming space to generate binary hash codes; then, the binary hash codes are subjected to bucketing to establish an inverted index of the hash bucket number to the encrypted object identification list; then, a symmetric subset predicate encryption is used to encrypt an XOR filter to generate a lightweight encrypted index; when querying, a client generates a hash bucket number pair set to construct a search token and send it to a server once; after subset verification in the encrypted XOR filter, the server returns encrypted multi-modal data in the corresponding bucket. The application uses an XOR filter to eliminate the false positive misjudgment of a traditional Bloom filter, significantly improves retrieval accuracy, reduces server-side retrieval complexity to a constant level, and realizes low-misjudgment, high-efficiency and low-overhead cross-modal ciphertext retrieval under the premise of ensuring privacy.

Aspects of the present disclosure relate to an apparatus of an enhanced method for establishing a user equipment (UE) policy association. An apparatus (e.g., UE) sends first signaling indicating an attach request to a first network entity. The apparatus receives a second signaling in response to transmitting the first signaling. The second signaling includes an indication of an identification list of network entities capable of handling an extended protocol configuration option (ePCO) information element (IE). The apparatus performs a process by sending an ePCO information element (IE) to a second network entity via one or more of the network entities identified in the identification list.

The invention provides an industrial Internet of Things service information processing method and system based on identifier analysis, and relates to the technical field of industrial Internet of Things. After industrial equipment is powered on, identity information containing a unique industrial Internet identifier and a digital signature is generated through an integrated active identifier carrier, and an access request is sent to an edge intelligent gateway; the gateway queries an identifier analysis system based on the identifier, acquires corresponding equipment configuration information and automatically configures a data acquisition task; the core platform service layer performs associated storage management on the acquired data, and provides digital twinborn model information and a service interface for the application and twinborn layer according to a preset identification mapping relationship; the application and the twinborn layer dynamically construct and render a visual scene according to the active equipment identification list and related information, real-time synchronization and interaction of physical equipment and a digital twinborn model are achieved, and zero-configuration network access, virtual-real dynamic synchronization and full-process efficient and controllable service processing of industrial equipment can be achieved.

Systems, methods, and computer-readable storage media for an artificial intelligence data analytics platform for cryptographic certification management. The system receives a cryptographic certification document with a list of cryptographic product identifications and stores the document in a restricted repository. The system stores the cryptographic certification document, then converts the document to text, resulting in a converted text with the list of cryptographic product identifications. The system, upon receiving a query requesting identification of at least one cryptographic certification within the list of cryptographic product identifications, executes the query on the converted text, and provides the query results to the user in response to the query.

To provide methods and apparatuses for cell (re)selection in a non-public network.SOLUTION: A method performed by User Equipment (UE) for cell (re)selection includes: the UE storing allowed NPN information that is in a form of a Cell Access Group (CAG) Identity (ID) list or in a form of a Stand-alone Non-Public Network (SNPN) ID list; receiving NPN information and area information associated with the NPN information via a System Information Block (SIB) Type 1 (SIB1) broadcast by a cell, the NPN information including an NPN ID list; performing a first procedure according to the allowed NPN information when the allowed NPN information is in the form of the CAG ID list; and performing a second procedure according to the allowed NPN information when the allowed NPN information is in the form of the SNPN ID list.SELECTED DRAWING: Figure 1

The object recommendation method, device, equipment and storage medium provided by the embodiments of the present application relate to the field of Internet technologies. The specific solution is as follows: Receive an object recommendation request of a target application, where the object recommendation request includes a target sharing object identifier. Then, according to the target sharing object identifier, query the cache to determine a set of assisting object identifiers corresponding to the target sharing object identifier. Subsequently, based on the intimacy scores between each assisting object identifier in the set of assisting object identifiers and the target sharing object identifier, sort each assisting object identifier in the set of assisting object identifiers to obtain a recommended object identifier list corresponding to the target sharing object identifier. Finally, push the recommended object identifier list of the target sharing object identifier to the target application. This technical solution can accurately determine the set of assisting object identifiers corresponding to the target sharing object identifier, and perform sorting based on the intimacy scores, improving the recommendation accuracy.