16 results about "Identifier type" patented technology

The present application relates to the technical field of communications, and in particular to a sample alignment method and apparatus in vertical federated learning (VFL), and a readable storage medium. The method comprises: a first network element sends a first request to a second network element for requesting a sample, wherein the first request comprises the identifier type of a sample used in a VFL task; the first network element receives a first response from the second network element, wherein the first response comprises the identifier of a sample supported by the second network element, and the identifier of the sample supported by the second network element matches the identifier type of the sample used in the VFL task; and the first network element determines, on the basis of the identifier of the sample supported by the second network element, the identifier of a sample supported by a group of VFL tasks jointly, wherein the group of VFL tasks comprises the second network element, and optionally comprises the first network element. By means of the present application, the possibility of sample identifier mismatch in a sample alignment process of a VFL task can be reduced, achieving sample alignment in the VFL task.

This disclosure provides a method, apparatus, device, and storage medium for identifier matching, relating to the field of computer technology, and particularly to the field of big data. The specific implementation is as follows: when the obtained identifier to be matched has no specified identifier type, the method generates a key based solely on the identifier to be matched (rather than generating a key based on both the identifier to be matched and the identifier type), and queries a database used for identifier matching based on the key generated by the identifier to be matched to obtain records matching the identifier to be matched. The database pre-stores the keys generated by the identifier to be matched and the corresponding identifiers to be matched. Thus, even without specifying an identifier type, identifier matching can be performed solely based on the identifier to be matched, and no matching results will be missed due to the lack of a specified identifier type, resulting in more accurate identifier matching results and a wider range of applicable scenarios.

Embodiments of the present application disclose a place retrieval method, an electronic device and a storage medium, comprising: obtaining a to-be-retrieved text; performing entity segmentation on the to-be-retrieved text to obtain at least one entity corresponding to the to-be-retrieved text; determining an entity identifier corresponding to each entity in the to-be-retrieved text according to a preset association relationship; and outputting a target place corresponding to the to-be-retrieved text based on the entity identifier corresponding to each entity and an identifier type corresponding to the entity identifier. The scheme can not only improve the recalled places during place retrieval, but also improve the accuracy of place retrieval.

The application provides a geographic coding error identification method based on addresses and coordinates, belongs to the technical field of geographic coding, and comprises the following steps. n S1: performing geographic coding on each text address through a geographic coding platform and converting each text address into corresponding coded coordinates in a WGS-84 coordinate system; each text address is in a standard format; S2: for any coded coordinate, error identification is performed on the coded coordinate to obtain an identification type of the coded coordinate; the identification type comprises a potential error type, a no-error type and an unidentifiable type; if the coded coordinate is a no-error type coded coordinate, an error value 0 of the no-error type coded coordinate is directly output; and S3: for the coded coordinate belonging to the potential error type, an error value of the coded coordinate is calculated. The method can determine the error value of the coded coordinate output by the geographic coding platform, thereby realizing error identification and precision evaluation of the geographic coding result and improving accurate understanding of the geographic coding.

The present application relates to the field of artificial intelligence technology and computer document processing technology, in particular to a presentation generation method and system based on multi-model cooperation and a storage medium, which receives text and identifies types, generates a presentation outline through a large language model adapted to the field and a prompt word template, performs content refinement processing on the outline points, analyzes the semantic features and structural features of the outline using a deep learning model, quantifies the importance of the points and identifies the logical relationship, determines the page layout mode, inputs the semantic features of the outline, layout geometric constraints and visual style consistency constraints into a condition generation model, generates visual elements, and based on the preset constraint conditions and weights, uses a constraint solving algorithm to automatically layout the presentation text content and visual elements to generate a presentation page. The present application realizes deep understanding of text, intelligent planning of layout, accurate matching of vision and automatic optimization of layout, significantly improving the production efficiency and quality of the presentation.

The invention discloses a circuit board testing method, device and equipment and a storage medium, and relates to the technical field of circuit board testing, and the method comprises the steps: carrying out the crimping part recognition of a to-be-tested circuit board through a preset multi-stage filtering strategy, and obtaining a crimping part list; generating an initial test point identifier corresponding to a target bonding pad based on the bonding pad size information of the target bonding pad corresponding to each crimping part in the crimping part list in combination with a preset identifier type; using a target test point identifier meeting a preset collision detection condition in the initial test point identifiers, and performing a test operation on the to-be-tested circuit board based on the target test point identifier; a coordinate binding relationship exists between the position of the target test point identifier and the position of the corresponding target bonding pad. Therefore, the crimping part of the circuit board can be accurately and efficiently identified in combination with a multi-stage filtering strategy; unification of test point identification standards is guaranteed, identification rationality can be optimized in combination with collision detection, and circuit board design change or test point identification adjustment difficulty can be reduced through binding of identification positions and bonding pad positions.

The application discloses an annotation-driven business object change recognition and log generation system and method, and the system is based on a four-layer architecture design and comprises an annotation-driven module, a type strategy module, a reflection processing module and an ID conversion module.The annotation-driven module is configured to compare annotation-related parameters and support log output and field comparison.The type strategy module is configured to realize a strategy mode through comparison enumeration, and each data type corresponds to a comparison function interface.The reflection processing module is configured to obtain all fields of a current class and parent classes through recursive scanning, support complete field scanning of inheritance relationships, avoid repeated reflection operations through a class field cache mechanism, and the ID conversion module is configured to define a unified ID conversion specification through a functional conversion interface, provide a plurality of conversion implementation classes, and configure a conversion interface singleton cache mechanism.The scheme realizes automatic recognition of business field changes, type conversion and log generation, supports unified processing of a plurality of data types, and significantly improves development efficiency and system maintainability.

The application discloses a wrench switch recognition method based on a target detection model, and relates to the technical field of instrument and meter scene switch state monitoring. The method comprises the following steps: a coal mine underground substation scene experimental site is built; a substation intelligent inspection robot is intelligently inspected and a cloud platform is set; the inspection robot is fixed at the instrument horizontal position, the cloud platform information and the recognition type are sent to a visual recognition service through an upper computer interface; the visual recognition service analyzes the parameters transmitted by the upper computer interface and intercepts the image of the point; a yolov5 target detection model is used to locate the wrench and switch position and type; the target frame of the target detection is used to judge the vertical direction height and the horizontal direction length, and the wrench switch state is obtained; the image preprocessing method is used to segment the switch base and the switch, and then a straight line fitting method is used to fit the switch handle to obtain the knob switch state; finally, the visual recognition result is saved as a dictionary type and transmitted to the upper computer.

A computer-implemented method for managing network services for a cellular network provider. The method includes providing a GUI including a search input field and a subscriber identifier selection field, and receiving a user selection of an IMEI identifier type and a query input of an IMEI number. Based on the user selection of the IMEI identifier type, the method includes querying an EEIR using the IMEI number. In response to querying the EEIR, the method includes receiving a first set of subscriber information associated with the subscriber including an MSISDN number. In response to receiving the MSISDN number, the method includes querying a first additional system using the MSISDN number, receiving, from the first additional system, a second set of subscriber information associated with the subscriber, and populating one or more fields of the GUI with the first and second set of subscriber information.

The invention discloses a business object change identification and log generation system and method based on annotation driving, and the system is designed based on a four-layer architecture, and comprises an annotation driving module which is used for configuring and comparing annotation related parameters, and supporting log output and field comparison; the type strategy module is used for realizing a strategy mode through comparison enumeration, and each data type corresponds to a comparison function type interface; the reflection processing module is used for acquiring all fields of a current class and a parent class thereof through recursive scanning and supporting complete field scanning of an inheritance relationship; and the ID conversion module is used for defining a unified ID conversion specification through a functional conversion interface, providing various conversion implementation classes and configuring a conversion interface singleton cache mechanism. According to the scheme, automatic identification, type conversion and log generation of business field change are realized, unified processing of multiple data types is supported, and the development efficiency and the system maintainability are remarkably improved.

The invention discloses an IEC104 protocol conversion method and system based on fusion of an IEC61850 model and an electric power internet of things model, and the method comprises the steps: constructing a three-dimensional address space model composed of a type identifier TYPE-ID, a transmission reason COT and an information object address IOA based on the structural features of an ASDUs in an IEC104 protocol; mapping a communication semantic mode corresponding to the (TYPE-ID, COT) two-tuple into an API (Application Program Interface); defining a mapping relation between an IEC 61850 model element corresponding to the IOA and an electric power internet of things model element; designing a synchronous request-response message processing mode and an asynchronous event-driven message processing mode; and constructing a localized real-time data mirror image library, and completing mapping between the protocol data and the model object. According to the invention, intelligent conversion and cooperative interaction between the IEC104 protocol and the IEC 61850 model as well as between the IEC104 protocol and the electric power internet of things model are supported, and efficient interoperation and flexible expansion in a multi-protocol and multi-model environment are realized.

The invention relates to a cross-platform service interaction data processing method and device, computer equipment and a storage medium, and the method comprises the steps: carrying out the polling of a target database according to a preset period, so as to query a target identifier; under the condition that the target identifier is queried, executing a preset data processing operation to obtain a single table identifier; according to the identification type of the single table identification, the single table identification is written into the target database, and different single table identifications of different dates in the target database are unique; under the condition that a plurality of preset single table identifiers exist in a target database and the dates of the preset single table identifiers are the same, generating a combined identifier according to the preset single table identifiers; and realizing data interaction between the off-line data warehouse and the cross-platform business system based on the single table identifier or the combined identifier, so that efficient interaction between the off-line data warehouse and the cross-platform business system is realized through the identifier-driven workflow design, and the reliability and traceability of data circulation are improved.

The invention provides a geocoding error identification method based on addresses and coordinates, which belongs to the technical field of geocoding and comprises the following steps: S1, geocoding n text addresses through a geocoding platform, and converting the n text addresses into corresponding coding coordinates under a WGS-84 coordinate system; each text address is in a standard format; s2, performing error identification on any coding coordinate to obtain an identification type of the coding coordinate; the identification types comprise a potential error type, an error-free type and an unrecognizable type; if the coding coordinate is an error-free coding coordinate, directly outputting an error value 0 of the error-free coding coordinate; and S3, calculating the error value of the coding coordinate belonging to the potential error type. According to the method, the error value of the coding coordinate output by the geocoding platform can be determined, so that the result error identification and precision evaluation work of geocoding is realized, and the accurate understanding of geocoding is improved.

The invention provides a medical entity recognition normalization method and system based on a semi-Markov model, and the method comprises the steps: employing a standardized concept name and a concept identifier as embedded components of a semi-Markov model state through quintuple joint state space modeling, and achieving the atomization joint modeling of boundary recognition, type judgment and concept mapping; constructing a mutual promotion mechanism of named entity recognition and entity normalization, enabling the NER to utilize semantic information of a normalized word list, and normalizing context information of the NER; performing end-to-end synchronous optimization on the parameters of the two subtasks by adopting an online structured learning algorithm; an algorithm is used to take the segments and its complete quintuple tags as decoding state units. According to the method, the error cascading problem of a traditional pipeline architecture is eliminated, and the accuracy and efficiency of medical literature mining, knowledge graph construction and clinical decision support are remarkably improved.

The invention relates to an answer text generation method and device, equipment, a storage medium and a program product. The method can comprise the steps of obtaining a question text and a reference document associated with the question text; based on the question text and the reference document, generating tokens of the answer text one by one, and obtaining the answer text which is formed by splicing a plurality of tokens and contains a reference identifier; wherein before each token is generated, the type of the token to be generated is determined, the type comprises an answer content type or a reference identifier type, and the corresponding token is generated according to the type. According to the method, whether the type of each token is the answer content type or the reference identifier type is determined before each token is generated, so that the generation of the reference identifier is restrained by type judgment, a system can be restrained not to randomly insert an unbased reference identifier, key facts needing to be marked are not missed, and the user experience is improved. And the accuracy of the reference identifier in the answer text is effectively improved.

The present disclosure provides a method for storing data, a method for querying data, an apparatus, a device, a storage medium and a program product, relating to the technical field of artificial intelligence, and particularly to the technical field of big data. The specific implementation scheme is: obtaining a plurality of to-be-stored identifier pair data, wherein the to-be-stored identifier pair data comprises an original identifier, a mapping identifier and a mapping identifier type; generating index data according to the original identifier and the mapping identifier type of each to-be-stored identifier pair data in the plurality of to-be-stored identifier pair data; dividing the to-be-stored identifier pair data corresponding to the same index data in the plurality of to-be-stored identifier pair data into an identifier data set to obtain at least one identifier data set; determining at least one identifier data according to the at least one identifier data set and the index data corresponding to the at least one identifier data set; and storing the at least one identifier data.