29 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.

The invention relates to the technical field of locomotive Tbox software design methods based on a TSN protocol, in particular to a locomotive Tbox software design method based on the TSN protocol, which is characterized in that the TSN protocol is added in a traditional locomotive Tbox controller software architecture, so that a Tbox controller has the capability of collecting TSN protocol data and supports the collection of traditional locomotive TRDP protocol data, and the Tbox controller is provided with a TSN protocol. In order to realize acquisition support of two protocols, a TSN data analysis module is added to a middleware layer in a new architecture design, the acquired TRDP data is classified, different types of identifiers are added, and data receiving and sending are carried out according to priorities of TSN protocol standards corresponding to different identifier types.

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 relates to a resource scheduling method and device, communication equipment and a computer readable storage medium. The method comprises the following steps: determining a fifth-generation mobile communication technology service quality identifier type based on a fifth-generation mobile communication technology service quality identifier value corresponding to a to-be-sent data packet of a current service; determining a frequency candidate position of the scheduling request according to the service quality identifier type of the fifth-generation mobile communication technology, sending the scheduling request at the frequency candidate position, and indicating the base station to determine the size of a first packet corresponding to the current service based on the frequency candidate position; and receiving downlink control information sent by the base station, and sending the data packet to be sent to the uplink of the base station based on the size of the first packet carried by the downlink control information. By adopting the method, the uplink data transmission delay can be reduced.

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 provides an identifier type determination method and device, electronic equipment, medium and program product, which can be used in the field of data processing. The method comprises the following steps: determining a plurality of first identifiers and corresponding identifier contexts in target code; determining a first type to which the first identifiers belong according to the identifier contexts; determining a second identifier and a third identifier in each first identifier according to the first type of the first identifier, wherein the first type of the second identifier is an unknown type, a joint type or an object class, and the first type of the third identifier is a native class; identifying the type of each second identifier based on an identification model to obtain a second type to which the second identifier belongs, and the second type is a public library class or a user-defined class. In the application, the determination accuracy of the identifier type is improved.

The invention provides an identifier type determination method and device, electronic equipment, a medium and a program product, which can be used in the field of data processing. The method comprises the following steps: determining a plurality of first identifiers and corresponding identifier contexts in a target code; determining a first type to which the first identifier belongs according to the identifier context; a second identifier and a third identifier are determined in the first identifiers according to the first type of the first identifiers, the first type of the second identifier is an unknown type, a joint type or an object type, and the first type of the third identifier is a native type; and identifying the type of each second identifier based on an identification model to obtain a second type to which the second identifier belongs, the second type being a public library type or a user-defined type. According to the method and the device, the identifier type determination accuracy is improved.

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.

The invention discloses a wrench switch identification method based on a target detection model, and relates to the technical field of instrument scene switch state monitoring. Comprising the following steps: constructing an experiment site imitating a coal mine underground substation scene; performing intelligent inspection of the substation intelligent inspection robot and setting a holder; the inspection robot is fixed at the horizontal position of the instrument, and the upper computer interface is used for calling and sending the holder information and the identification type to the visual identification service; the visual identification service analyzes the parameters transmitted by the upper computer interface and intercepts an image of the point location; positioning the positions and types of a wrench and a switch by using a yolov5 target detection model; judging the vertical height and the horizontal length of the wrench type by using a target frame of target detection to obtain the on-off state of the wrench; the knob switch type is divided into a switch base and a switch by using an image preprocessing means, and then a switch handle is fitted by using a straight line fitting mode to obtain a knob switch state; and finally, storing a visual identification result as a dictionary type and transmitting the dictionary type to an upper computer.

Embodiments for streamlined training are provided. One embodiment of a method includes granting a user with access to an organization-managed device, determining that the user has been assigned third party training software, and determining an identifier type for the third party training software. Some embodiments include locating a user identifier associated with another portion of the organization-managed device that complies with the identifier type for the third party training software, automatically and without user intervention using the user identifier to identify the user for the third party training software, and providing a training widget to the user. Some embodiments include determining that the user is deficient on training and in response to determining that the user is deficient on training, physically restricting access to other third party software provided via the organization-managed device.

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 a phishing page identification method based on ensemble learning and active learning. The method comprises the following steps: collecting a network page and processing the network page into an initial data set; clustering the initial data set to construct a cluster set; training a single-class width learning system for clusters in the cluster set, and allocating weights to construct a first integrated learning model; a buffer area is set to temporarily store unrecognizable pages, types are recognized after clustering, then a single-class width learning system is trained to be added into the first ensemble learning model, and a second ensemble learning model is formed; designing a weight adjustment mechanism to adapt to the change of the phishing page; identifying the page by using a second integrated learning model, and if the page fails, sending the page to a buffer area; and if successful, calculating a confidence score, and selecting the data tag with the highest score to determine whether the page is a phishing page. According to the method, the participation of professionals in a phishing page identification process can be reduced, an excellent identification success rate is kept, and an effective solution is provided for the field of network security.

The invention provides an image editing method and apparatus, a computer device and a storage medium. The method comprises the steps of obtaining a to-be-edited document image and corresponding insurance type information in a preset claim settlement system; detecting a claim settlement related area in the document image according to the insurance type information; detecting a privacy area in the document image; determining a region identification type according to a region contour corresponding to the claim settlement related region; the region identifier type comprises one or more of a circular identifier, a square identifier and an arrow identifier; acquiring color distribution information corresponding to the privacy area in the document image; the color distribution information comprises a color corresponding to each pixel point in the privacy area; generating mosaic information corresponding to the privacy area according to the color distribution information; the mosaic information comprises a superposition color corresponding to each pixel point in the privacy area; and performing color superposition on each pixel point in the privacy area according to the mosaic information, completing marking of the area contour according to the identification type, and completing editing of the document image.

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 smart contract code completion method based on deep neural network and global cache provided by the present application can first obtain the code data containing the code to be completed and determine the target identifier prediction model when completing the code; then the target identifier prediction model can be used to predict the code data to obtain the predicted name probability and predicted type probability of the next identifier, and the target multi-layer perceptron can be used to determine the predicted position probability of the next identifier of the code to be completed, and then the predicted position probability and the predicted type probability are probabilistically integrated, and the integration result is weighted with the predicted name probability to obtain the adjusted result, and finally the next identifier of the code to be completed is determined based on the adjusted result, and then the code to be completed is completed. The present application uses a multi-layer perceptron to build a global cache, and combined with the prediction of code identifier type and identifier name, it can understand contextual semantic information and improve the accuracy of the completed code.

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.

It is presented a computer-implemented method for providing a software patch to a device, comprising: a) determining a model difference between an existing model and a new model, b) converting the determined model difference into a set of graphs, c) applying a graph mining unit to the set of graphs to identify a type of closed sub-graph, wherein the type of the identified closed subgraph comprises an optimal type, d) storing the optimal type and generating a reference to the stored optimal type, e) replacing the closed subgraph of each identified type corresponding to the optimal type with the generated reference to obtain a compression model difference and a compression patch comprising the compression model difference, and f) encoding and transmitting the compressed patch to the device.

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 invention relates to the technical field of intelligent power grids, and discloses an edge-cloud collaborative non-intrusive load real-time identification method and system, and the method comprises the steps: collecting the power data of a total load at a power utilization entrance of a user, carrying out the processing of an edge end, extracting the characteristics of a power utilization event, recognizing the type, decomposing the total load, and obtaining the power utilization information of all equipment, an identification result is transmitted to a cloud end for analysis, a model library is dynamically updated, and then updated model library information is fed back to an edge end optimization algorithm. According to the system, an improved dynamic time warping algorithm is adopted for event matching, load decomposition is realized by using an unsupervised clustering and semi-supervised learning model, and electrical characteristics of equipment are obtained through a high-frequency sampling technology. According to the scheme, a sensor does not need to be installed on each electric device, the deployment cost is greatly reduced, meanwhile, high-precision recognition is achieved by means of an edge-cloud collaborative architecture, the accuracy rate reaches 95% or above, and an economical and efficient technical solution is provided for intelligent power consumption management.

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.

The invention provides an entity processing method and device based on a large language model, equipment and a storage medium, and relates to the technical fields of large language models, natural language processing, named entity recognition and the like. The method comprises the following steps: identifying an initial entity, an identification type to which the initial entity belongs and correlation between the initial entity and a target type from a corpus through a large language model; based on the marked real type, extracting an error entity with a type identification error from the initial entity; constructing a correlation array according to the identification type to which the error entity belongs and the correlation between the error entity and the target type, and determining a filtering area from the correlation array; the filtering area is used for shielding entities with wrong type identification.