448results about "Other databases querying" patented technology

Systems and methods are disclosed comprising techniques for preliminary signal evaluation, such as generating a first session record for a first environment state for the user runtime session, retrieving a second session record for a second environment state for prior user runtime sessions, inputting the first and the second session records into a first generative model to generate a predicted session event set for the user runtime session, selectively determining a prioritized session event from the predicted session event set based on comparing realization parameters of the predicted session event set, inputting the prioritized session event and the first environment state into a second generative model to generate a preliminary session event for execution during the user runtime session, and when the environment state of user runtime session satisfies activation criterions of the preliminary session event, executing the preliminary session event prior to execution of the prioritized session event.

The application relates to a type view decomposition method, belonging to the technical field of type view decomposition, and comprising the following steps: S1, removing an arbitrary sub-tree in a type view source extension tree, and determining the root node and the parent node of the sub-tree; S2, constructing a new view A based on the remaining extension tree, and defining a shadow element to represent the remaining view element; S3, defining a view reference in the view A, anchoring on the parent node, and binding on the reference element of the root node of the sub-tree; S4, defining an agent attribute for the extension tree node in the view A; S5, constructing a new view B based on the root node of the sub-tree, and defining a shadow element for the removed view element; and S6, defining a reference attribute and an agent attribute in the view B, so as to solve the problems of difficult type view heterogeneous decomposition, inconsistent calculation and low query efficiency.

We provide the system. [Solution] A means for receiving requests in natural language from users and performing semantic analysis on those requests, A means for searching a spatial information database based on generated search conditions and generating search results, A means for transmitting the aforementioned search results to the user's terminal, suggesting them in a visually displayable format, and making them interactively operable, A means of guiding users to their destination using visualized spatial information based on their choices, A system that includes this.

This system provides an information retrieval system that uses knowledge graphs to accurately represent the logical structure of text. [Solution] The information retrieval system of the present invention comprises: a receiving means for receiving input of a question sentence from a user terminal; a storage means for storing a knowledge graph including hierarchical syntactic relationships for each node, and a graph extraction means for extracting subgraphs from the knowledge graph that include nodes related to the question sentence; a prompt generation means for generating prompts to cause a generating AI to generate an answer sentence corresponding to the question sentence by referring to the subgraph, based on the question sentence and the subgraph; an acquisition means for inputting the generated prompts to the generating AI and acquiring the answer sentence generated by the generating AI; and an output means for outputting the answer sentence acquired by the acquisition means to the user terminal.

The application discloses a same-row relationship detection method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining target video data in a target place; determining a personnel pixel area in each image frame in the target video data, and determining a target height and / or a target body shape ratio of the personnel corresponding to the personnel pixel area; determining an anonymous identity of the personnel in the image frame based on a dynamic anonymous personnel name list corresponding to the target place and the target height and / or the target body shape ratio; and judging whether a first search personnel and a second search personnel are in a same-row relationship according to the anonymous identity information of the personnel in each image frame in the target video data. The scheme can efficiently and with low algorithmic consumption detect the anonymous identity of the personnel in each image frame in the video data, so as to accurately and quickly find out whether the two search personnel are in a same-row relationship according to the anonymous identity of the personnel.

This application relates to the field of fintech and discloses a dynamic hybrid parsing and deterministic verification system and method for fuzzy bond instructions. The system constructs structured data through an instruction preprocessing module; a routing decision module calculates complexity scores based on structure, semantics, and business characteristics, and generates path selection instructions using a resource-aware dual-threshold strategy; a hybrid parsing module responds to instructions, employing a rule engine to handle low-complexity tasks and a large-scale model with enhanced retrieval to handle highly ambiguous tasks; a fallback verification module performs confidence-weighted integration and logical consistency checks, and repairs anomalies through issuer set operations and edit distance matching; a mapping generation module constructs standard query statements using an abstract syntax tree; and a closed-loop optimization module dynamically updates parameters based on user interaction feedback. This invention effectively balances computational efficiency and parsing accuracy, eliminates model illusion risks, and achieves adaptive evolution of the system.

Systems and methods for natural disaster damage analysis. Aerial images are converted (710) into a set of property images. The property images are then clustered (720) using vector embedding. Clustering the property images includes classifying the property images into separate categories, determining a symmetric similarity between the property images in each category, and clustering the property images based on the similarity. A first artificial intelligence agent extracts (730) damage information from a set of representative members of the clustered property images, where the damage information includes damage level information and damage reasoning information. The damage information is then stored (740) in a datastore with at least two databases, where at least one of the databases stores damage reasoning information and at least one other one of the databases stores damage level information.

The application discloses an industrial plant structure scheme engineering cost comparison and measurement method, and belongs to the technical field of building engineering cost management; the application comprises target industrial plant alternative structure schemes to be compared, collects building information model design data corresponding to each set of alternative structure schemes, and collects core feature data of the corresponding industrial plant; component analysis processing is performed on the building information model design data of each set of alternative structure schemes, automatic analysis of engineering quantity is performed, and sub-item engineering quantity detail data corresponding to each set of alternative structure schemes is generated; according to the application, engineering quantity calculation error is reduced from 5-8% in a traditional method to 1-2% through automatic extraction of BIM model data, measurement reliability is greatly improved, whole life cycle cost analysis covers whole-process economy evaluation from construction to operation, and long-term operation burden caused by short-term cost optimization is avoided.

This application provides a method, apparatus, device, storage medium, and product for cross-modal data association retrieval, relating to the fintech field or other related fields. The method includes: acquiring multimodal data; extracting multimodal feature vectors from the multimodal data and performing entity recognition on the multimodal feature vectors to determine multiple entities in the multimodal data; performing ontology alignment processing and similarity calculation on the multiple entities respectively to determine the association relationships between the entities; constructing a cross-modal data association retrieval knowledge graph based on the multiple entities and the association relationships between entities; and performing cross-modal data association retrieval based on the cross-modal data association retrieval knowledge graph. The method of this application improves the completeness and relevance of the retrieval results.

The specification provides a vector graph index merging method and device, the method comprising: obtaining a plurality of vector graph indexes to be merged; wherein each node in the vector graph index represents a vector, and each edge represents that the vectors represented by the nodes connected by the edge are similar; for each target vector in each target vector graph index, determining the vectors similar to the target vector from each vector graph index based on an approximate nearest neighbor search algorithm to form a cross-graph candidate neighbor set of the target vector; based on the cross-graph candidate neighbor set of each vector in the plurality of vector graph indexes, constructing a global neighbor graph; wherein each node in the global neighbor graph represents each vector in the plurality of vector graph indexes, and each edge represents that the vectors represented by the nodes connected by the edge are similar; and converting the global neighbor graph into a merged graph index that can be used for approximate nearest neighbor search.

This invention discloses a cross-business data collaborative analysis method and system based on multimodal AI, belonging to the field of artificial intelligence technology. It solves the technical problems of bridging the semantic gap between multiple business systems and the inability to quantify differences in business perspectives in existing technologies. The method includes: constructing a unified cross-business semantic space containing atomic event types and entity types and assigning prototype vectors; inputting multimodal data into a base matching network to obtain base matching vectors, querying a perspective correction parameter set from a representation difference mapping table based on business identifiers, and inputting it into a perspective correction network to obtain corrected semantic representation vectors; parsing the collaborative analysis task to obtain target types and retrieving associated vectors; constructing a cross-business semantic association graph using the associated vectors as nodes, identifying key paths connecting different business systems, and outputting the collaborative analysis results after differentiation and fusion through a graph neural network. This invention achieves semantic alignment and perspective-aware collaborative analysis across business systems.

Embodiments provide techniques for emitting structured and dynamic fields from an accelerated data model. The method comprises evaluating a query to search a data model, wherein the data model is defined by a set of events and at least one structured field from fields associated with the set of events. A summarization table is associated with the data model and comprises a plurality of entries comprising reference values, wherein a respective summarization table entry comprises: the at least one structured field; a respective field value; and a reference value. The method further comprises accessing the set of events from the field searchable data store using the reference values in the summarization table and annotating the set of events with the at least one structured field and with at least one dynamic field from the fields associated with the set of events.

A target IP search method for a target item according to one embodiment is performed by a computer device. The target IP search method for the target item includes the steps of: obtaining a designating query for the target item; and, based on the query, searching for a plurality of target IPs used in at least one of the research, development and production of the target item. Here, the plurality of target IPs include IP relating to each of at least two components of the components of the target item and / or IP relating to the combined technology of the at least two components used for the performance, operation, production and use of the target item.

The application provides a drug compatibility safety early warning information pushing processing method and system, relates to the medical information technology field, and comprises the following steps: analyzing patient medication records, combining pharmacological properties and patient individual physiological indexes, identifying and correcting individual risks. A risk correlation diagram is constructed and a causal relationship is determined. The cumulative risk intensity is quantified to determine the risk level and the early warning time window. According to the risk level and the time window, the early warning message is generated and sorted, and the precise and timely drug safety early warning information pushing is realized.

This application provides a method and related equipment for preprocessing game trajectory data. The method includes: converting game trajectory data into a first grid sequence; merging high-frequency adjacent grids in the first grid sequence to calculate a second grid sequence; extracting embedding vectors from the second grid sequence to calculate an embedding vector sequence; and using the embedding vector sequence as a training set input to a deep learning model. This application's embodiment, by converting game trajectory data into a first grid sequence, merging high-frequency adjacent grids in the first grid sequence, and then extracting embedding vectors from the second grid sequence, can capture the prior influence of environmental factors on trajectory distribution and the potential contextual semantic information in the trajectory, achieving effective compression of long trajectory data.

The application discloses a complex peptide traceable structure coding method, comprising the following steps: analyzing original input data, constructing an intermediate representation object irrelevant to an input format; mapping and processing the intermediate representation object based on a rule base, constructing a standardized molecular graph; serializing the standardized molecular graph, generating a standardized structure string representation, and generating a traceable structure coding result aligned with the standardized structure string representation according to a character position interval, node attributes and edge attributes of the standardized molecular graph and the intermediate representation object. By constructing an intermediate representation object irrelevant to an input format, the inconsistent problem caused by input format differences in traditional methods is solved; the obtained coding result can be directly used for artificial intelligence model input, structure screening, source audit and data archiving, and the computability, traceability and reusability of complex peptide data are improved.

The application discloses a kind of based on visual perception's intelligent modeling generation system of moving head lamp, belong to stage lighting control technical field.The application includes: visual perception unit, obtains moving head light column three-dimensional information and establishes lamp space position database;Modeling case library is used to store the preset commonly used moving head light column modeling template;Space constraint analysis module is used to analyze the modeling space constraint that can be realized based on the actual space layout of on-site moving head lamp;AI modeling generation module is automatically generated based on lamp space distribution moving head light column basic modeling that adapts current lamp position layout;Modeling output interface is exported to console use.The application realizes the automatic generation of moving head lamp basic modeling based on on-site lamp position space perception for the first time, provides a series of position adaptation modeling scheme for lighting designer, and greatly improves programming efficiency.

The application relates to the technical field of data management, and is an industrial production energy consumption optimization management data processing system. The system comprises an energy consumption graph construction module, an energy efficiency matrix generation module, an energy consumption evaluation module, an abnormality identification and strategy retrieval module and an instruction generation and adaptation module. Real-time energy consumption data and operation parameters of a production line are subjected to multi-scale feature analysis to construct a multi-dimensional energy consumption graph and a multi-modal energy efficiency state matrix. The expected energy consumption state of the production line under the current working condition is subjected to weighted quantitative evaluation to obtain a theoretical optimal energy consumption value. The multi-dimensional energy consumption graph and the multi-modal energy efficiency state matrix are subjected to collaborative identification, and the identification result is mapped to a historical optimization case database of the production line to retrieve a candidate regulation and control strategy. Equipment regulation and control parameters and execution time sequences in the adaptive strategy are encoded and packaged to obtain an optimization regulation and control instruction list. The application can improve the efficiency of industrial production energy consumption optimization management.

Provide a system. 【Solution means】 Voice recognition means for converting customer voice data into language data in real time, Natural language processing means for analyzing the language data and extracting the subject of the inquiry, Memory search means for searching for relevant information from the inquiry history and knowledge base, Generative machine learning means for generating an optimal answer based on the relevant information, Information presentation means for displaying the generated answer on the display device of the person in charge in real time, Information storage means for recording the information after response as event information, Input means mounted on a smart device for receiving questions from customers in real time, A system including.

To make use of a vast amount of data accumulated in relation to use of services.SOLUTION: An information processing device according to the present invention includes an acquisition unit and a learning unit. Upon receiving user conditions related to a user as a target of learning, the acquisition unit acquires feature values indicating features of users who satisfy the conditions from a database storing feature amounts indicating features of users, and acquires action information indicating actions took by the users who satisfy the user conditions from a database storing action information indicating actions took by users. The learning unit makes a model learn a relation between the feature values and the action information acquired by the acquisition unit.SELECTED DRAWING: Figure 6

A computer-implemented method (100) and system (1) for controlling the performance of a smart contract. The method includes storing a contract on or in a computer-based repository. The contract is associated with a licence between a first user (Ul) and a second user (U2). The method further includes receiving, over a communications network, a transaction comprising a transfer of a token from an agent (A) to the first user (Ul) or the second user (U2). The transaction comprises metadata that includes an identifier indicative of a location where the contract is stored. The method further includes querying a peer-to-peer distributed ledger (i.e. blockchain) to determine whether the transaction comprises at least one unspent output (UTXO). The method further includes, responsive to querying the peer-to-peer distributed ledger, determining whether to modify performance of the contract. The blockchain may be the Bitcoin blockchain.

The system according to this embodiment aims to provide prompt and accurate responses to customer inquiries. [Solution] The system according to the embodiment comprises a reception unit, an analysis unit, a generation unit, a provision unit, and a learning unit. The reception unit receives inquiries from customers. The analysis unit analyzes the inquiries received by the reception unit. The generation unit generates a response script based on the analysis performed by the analysis unit. The provision unit provides the response script generated by the generation unit to the operator. The learning unit learns the responses of the operators.

The application discloses a shadow test case automatic generation and self-recovery method based on service characteristic fingerprints, and relates to the field of software automatic test. The method comprises the following steps: in a production environment or a gray environment, collecting the event sequence of real user operation through a front-end silent acquisition probe, and extracting the multi-dimensional service characteristic fingerprints of the operated page elements; after the event sequence is denoised, cleaned, desensitized and parameterized, the standardized shadow test case is generated and stored in the characteristic fingerprint library; when playing back in the test environment, the original physical locator is used to locate the target element, and when the location fails, the self-recovery process is triggered, the multi-dimensional comprehensive similarity score of the current page candidate node and the historical fingerprints is calculated, the substitute target element is selected to continue the test; after the self-recovery succeeds, the new physical location information of the substitute target element is written back to the characteristic fingerprint library. The application realizes the change from physical addressing to service semantic addressing, and reduces the script maintenance cost caused by UI reconstruction.

Disclosed systems, methods, and computer readable media can retrieve clinical information based on clinical patient data. For example, a method for retrieving clinical information based on clinical patient data includes receiving a specification of a patient cohort, receiving a query, retrieving a list of search results based on the query and the specification of the patient cohort, computing one or more inferences for each item in the list of search results, providing an aggregate statistical analysis associated with the one or more inferences, and providing, by the one or more hardware processors, a response to the query that includes the aggregate statistical analysis. Each element in the list of search results comprises at least a portion of a clinical data record associated with a patient in the patient cohort.

The present application provides an information processing method, a computer program, and an information processing device for obtaining information desired by a user. A request for creating associated data is input to a language generation model, and associated data output by the language generation model is acquired, the associated data being constituted by a question sentence for object data related to a specific device or system, a summary of the object data, or a question sentence for the summary, the object data and the associated data are stored in a database in association with each other, a question related to the device or the system is acquired, associated data is retrieved from the database based on the question, object data associated with the retrieved associated data is extracted from the database, the question and the extracted object data are input to a language generation model, an answer to the question output by the language generation model is acquired, and the acquired answer is output.

The application relates to the technical field of quality management, in particular to a stamping hardware quality management method and system. Production batch information and production event context information are acquired; quality data uploaded by an automatic detection device and associated detection context information are acquired, the detection context information comprising detection time, detection device identification and batch identification; based on the production batch information, the production event context information and the detection context information, multidimensional consistency evaluation is carried out; according to the result of the multidimensional consistency evaluation, correlation judgment is carried out and a correlation between the quality data and the production batch information is established; quality data that cannot establish a correlation through correlation judgment is marked and manual checking is prompted. The application solves the technical problem of quality data and actual production batch correlation confusion caused by inconsistent or incorrect batch information entry in large-scale production of stamping hardware.

The application discloses a retrieval method and related device. According to a to-be-retrieved input string, prefix matching is performed in a target dictionary tree to obtain a target leaf node. According to a remaining string of the to-be-retrieved input string, each full string in a data file corresponding to the target leaf node is checked to obtain a checking result of each full string, the checking result being used to indicate whether the corresponding full string matches the to-be-retrieved input string. If the checking result indicates that a target full string in the data file matches the to-be-retrieved input string, a word corresponding to the target full string is determined as a candidate of the to-be-retrieved input string. The application combines the target dictionary tree and the data file to perform retrieval, the target dictionary tree has the characteristic of high retrieval efficiency, and meanwhile, since the remaining string is a partial string of the to-be-retrieved input string, the time for performing retrieval in the data file is also reduced. Therefore, the retrieval efficiency and retrieval performance are improved, even the response performance of the entire input method is improved, and the input experience is improved.