20 results about "Database selection" patented technology

The application discloses a kind of collaborative design method and device of gear transmission system for marine environment, it is related to mechanical design field, comprising: the depth that gear transmission system works in marine environment is obtained, based on depth and first relationship, the environmental parameter of marine is calculated;According to environmental parameter and second relationship, the state parameter of lubricating oil used in gear transmission system is calculated;According to the state parameter of lubricating oil and the environmental parameter of marine, select initial gear material in material performance parameter database;According to the design requirement of gear transmission system, select initial configuration in configuration database;Initial gear material and initial configuration are used as initial condition, gear material and configuration are input to coupling performance prediction model to obtain performance index, under constraint condition, target function is solved iteratively using multi-objective optimization algorithm, to obtain the best gear material and configuration.The application overcomes the limitation of traditional separation type design, and can capture complex coupling relationship.

The invention discloses a protection equipment management system and method based on multi-source data, and relates to the technical field of protection equipment management. Monitoring unit division is carried out on a monitoring area, bird characteristics of the monitoring area are obtained, a bird characteristic database of the monitoring units is established, and the monitoring units with similarity meeting a threshold value are selected as template units; the method comprises the following steps: establishing a template unit database, calling historical use data of protection equipment to obtain a protection equipment template, analyzing the protection equipment template according to a bird feature group, establishing a template database comprising an undetermined protection equipment template, and analyzing the use priority of the undetermined protection equipment template. When a task for protecting a new monitoring unit is received, the undetermined protection equipment template with the highest priority degree is screened, and after a preset updating period is finished, data updating is conducted on the database, the historical protection effect is quantitatively evaluated, the protection equipment template is screened out to serve as an undetermined option, and the reliability of the selected template is enhanced.

A computer system is coupled for access to a first database that stores clinical data including, as an item, information acquired on a clinical site and relating to a patient provided with a therapy and a second database that stores non-clinical data including, as an item, information acquired for an investigation purpose and relating to a patient group provided with a therapy. The computer system selects a predetermined number of pieces of the clinical data from the first database, and aggregate the selected predetermined number of pieces of the clinical data, to thereby generate comparative data; and executes, through use of the non-clinical data and the comparative data which are the same in therapy content, statistical analysis for analyzing a difference in the item.

A data communication device for a vehicle, a center device, a data communication method, and a computer program are provided. As one mode of the present disclosure, an OTA client (7) wirelessly communicates with a center device (2) using a line of a communication carrier to acquire update data for writing to a plurality of ECUs (6). A communication information acquisition section (12) acquires information of the communication carrier and information of a region in which the center device (2) exists by wirelessly communicating. In a database (11), a plurality of communication clients corresponding to different distribution servers (23(1))-(23(3)) are stored. An OTA provider switching control section (10) selects an OTA client (7) corresponding to the communication carrier and the region from the database (11) based on the information acquired by the communication information acquisition section (12) and makes the OTA client (7) active, so that data communication with the distribution server (23) is enabled.

The invention relates to the technical field of virtual reality, and particularly discloses a practical training method based on a virtual reality technology, which comprises the following steps: acquiring professional direction information of a user and storing the professional direction information to a terminal equipment information database; a professional direction is selected based on the database, a corresponding virtual practical training scene model and teaching content are matched, and a scene loading instruction is sent to the virtual reality interaction device; the equipment presents a virtual practical training scene model according to the instruction; the user obtains operation data in real time during operation, analyzes the data in combination with the preset professional practical training evaluation standard, generates real-time feedback and pushes the feedback to the equipment, high-precision operation scenes and high-risk scenes can be reproduced through the virtual practical training scene model without physical equipment investment, the cost of single professional practical training equipment is reduced, meanwhile, the geographical limitation of the scenes is broken, and the practical training efficiency is improved. Remote colleges and universities can access a standardized practical training scene through virtual reality equipment without transporting scarce pathological samples and high-end instruments.

A computer-implemented method selects publicly traded assets suitable for trading consideration. A computer accesses market databases, selects assets, and defines an analysis configuration with parameters and timeframes common across assets. For each parameter-timeframe series, the computer forms a normalizing indicator from at least two smoothed sequences and builds multiple deviation bands using specified band families and settings. Within a time window, boundary-crossing events of the indicator are detected for each band. For every asset, the computer records counts of boundary crossings in a result matrix, computes an integral score, optionally with weights, and forms an ordered set of result matrices obtained under alternative configurations. An asset-level output includes a per-matrix score and a set-wise score, such as a sum of per-matrix scores. Assets may be sorted or grouped by these values, and results may be visualized as comparison charts.

The invention discloses a conversation service storage management method and device, electronic equipment and a storage medium, and relates to the field of financial science and technology or other related fields, and the method comprises the steps: recognizing a service path of a remote conversation service request under the condition that the remote conversation service request is received, and processing the remote conversation service according to the service path; obtaining call service data in the processing process, and copying the call service data to obtain a call service data copy; determining an available database based on a preset database selection strategy, and determining a storage routing path; and storing the call service data copy to an available database according to the storage routing path. Through the method and the device, the technical problem of poor financial call service quality caused by defects of a remote financial system in aspects of data statistics and management in related technologies is solved.

Apparatuses, methods, and systems are disclosed for location-aware beam selection. One method a communication device (i.e., a UE and / or gNB) includes mapping a set of beam signal characteristics to UE location information and storing said mapping to a Beam Fingerprint (“BFP”) database. The method includes identifying a UE location and selecting an optimal beam based using the UE location and the BFP database, said optimal beam being one of: a transmit beam and a receive beam.

This invention provides an optimization method, storage medium, and device for database selectivity calculation. The method includes: extracting a first constraint clause using AND predicates; merging columns with functional dependencies in the first constraint clause into a first target column set based on these dependencies, and calculating the first selectivity for each merged target column in the first target column set; calculating the second selectivity for target columns outside the first target column set in the first constraint clause; sorting the first and second selectivity, and selecting a preset number of target columns according to preset rules, then substituting their selectivity into a preset formula to calculate the total selectivity. This method enables reasonable selectionivity calculation and incorporates data relevance into the selectivity formula, thereby improving the accuracy of the optimizer's selectivity calculation.

Techniques for retrieving products conforming to specific specifications from a question text in a natural language are improved. An information processing device (20) is provided with a control unit (21) that registers, in a database, one or more attributes and attribute values, which are attribute values, for a plurality of vehicles, and performs control that, when a question text expressed in a natural language is input, specifies search conditions relating to the attributes indicated in the question text using machine learning, and performs search for the search conditions relating to the attributes indicated in the question text. And generating a query for selecting a vehicle satisfying the determined search condition from the database, and outputting a search result of the database based on the query.

Vehicle systems and methods for compensating for scheduled battery charging. A vehicle system includes a database and a control module. The control module is configured to determine a plurality of compensation factors for a plurality of planned charging power values, each compensation factor being determined based on a system weight and an error between an estimated energy provided for the charging time slot and an actual energy provided during the charging time slot for charging a battery in the vehicle, each of a plurality of compensation factors specific to one of the planned charging power values is stored in a database, one of the stored compensation factors is selected from the database based on a subsequent planned charging power value for charging the battery in the vehicle, and determine an adjusted duration for charging a battery in the vehicle based on the selected compensation factor. Other example vehicle systems and control methods are also disclosed.

A service accesses a RAG system having access to source databases. The source databases are accessible by an LLM tasked with answering user queries. The LLM relies on the source databases to answer the queries. The service accesses a current user query. The service accesses a PQ database of previous user queries that were successfully answered by the LLM. The service retrieves, from the PQ database, a select number of previous user queries that are similar to the current user query. The service identifies source databases used by the LLM to answer those similar user queries. These identified source databases are weighted and ranked. The service generates a subset of source databases by filtering the databases based on the ranked weighted scores. The service tags the subset of source databases as ones the LLM is to potentially use when generating a response to the current user query.

The invention discloses an RAG knowledge base construction method oriented to intelligent generation of a Modelica model. The RAG knowledge base construction method is used for constructing an electric vehicle system model. The method comprises the steps that a knowledge document of the electric vehicle field is acquired based on data of an electric vehicle physical system, the knowledge document is segmented, each segmented paragraph comprises a complete information unit, and the information units are stored as structured field knowledge; the method comprises the following steps: organizing documents according to component categories of an electric vehicle physical system, partitioning each document, obtaining text embedding vectors after partitioning, and storing the text embedding vectors into a vector database; the method comprises the following steps: selecting an RAG framework and a large language model, building a model generation agent, importing a Modelica language specification knowledge base and an electric vehicle field knowledge base, retrieving knowledge fragments from the knowledge bases by using the RAG framework for user questions in a question and answer form, and generating a model. Based on the method, efficient and accurate generation of the Modelica model of the electric vehicle assembly, the whole vehicle and the control system can be realized.

A communication system that comprises a central cloud server which further includes a processor. The processor obtains sensing information from a plurality of vehicles as the plurality of vehicles move along a travel path, generates a connectivity enhanced database over a first period of time based on the obtained sensing information, and causes one or more RSU devices over a second period of time to direct one or more specific beams of radio frequency (RF) signals to service a donor side of a first edge device of a new vehicle in a case where the new vehicle arrives and moves along one or more first geographical areas of a plurality of geographical areas along the travel path, where the one or more specific beams are selected based on the connectivity enhanced database.

The invention provides a model routing system and method, electronic equipment and a storage medium. The model routing system comprises: an index database, which stores different AI models, various index information of each AI model, and calling interfaces corresponding to each AI model; the entrance gateway module is used for receiving a model decision request and determining a target demand for the AI model included in the model decision request; the multi-target routing decision module is used for acquiring the target demand, selecting a target AI model meeting the target demand from the index database according to each piece of index information of each AI model, and feeding back a calling interface of the target AI model to the entrance gateway module; and the entrance gateway module is also used for outputting a calling interface of the target AI model. The model routing system can assist a user in selecting an AI model suitable for own requirements.

The invention relates to the technical field of artificial intelligence and databases, in particular to an AI-driven multi-modal data stream scheduling method and system. The invention aims to realize automatic selection and query scheduling of the multi-source heterogeneous database through a real-time intelligent decision-making mechanism, and improve the enterprise data query efficiency and intelligence. According to the method, an intelligent closed-loop process is constructed, and the method comprises the following steps: firstly, ensuring the accuracy and integrity of query intention recognition by utilizing a semantic analysis technology combining a large language model and an ontology map; then, the AI Agent participates in database selection and query planning tasks, and an optimal database selection scheme is provided through an advanced semantic matching algorithm and intelligent decision-making ability; then, based on a selection result, the AI Agent automatically generates a cross-library query plan which covers query decomposition, rewriting, field mapping and execution sequence planning; performing parallel query execution and semantic fusion; and finally, a query execution result is deeply analyzed through a feedback optimization unit, and an AI Agent decision model is updated based on query performance and user satisfaction, so that the accuracy and adaptability of system query scheduling are continuously improved. The system can be widely applied to multi-database heterogeneous scenes such as supply chain management, scientific research data center, medical information integration and the like.

A method for providing a chatbot and a database editing session service includes: receiving a database selection from a user and connecting the chatbot's editing service to a table in the database; outputting a question from the editing service to the user requesting a description of the table's subject; receiving the description of the table's subject; outputting a question to the user requesting identifiers for key columns of the table, the key columns containing values ​​representing the table's subject; receiving the identifiers for the table's key columns; and translating the description of the table's subject and the table's key columns into a session service by a natural language query service, wherein the session service includes SQL statements suitable for querying the database table.

The invention provides a rapid evaluation and optimization decision-making method for a heat storage scheme. The method comprises the following steps: establishing a heat storage material thermophysical property database; a corresponding heat storage device form is selected; primarily screening a heat storage material based on a temperature matching principle; based on constraint conditions of volume limitation of the heat storage scheme, structural parameters of the heat storage device and the mass of heat exchange fluid and heat storage materials are calculated; heat storage device transient simulation models are established for solid sensible heat storage, liquid sensible heat storage and phase change latent heat storage respectively; according to the transient simulation model of the heat storage device, the change trend of key parameters of each heat storage device in the heat storage process is calculated; calculating performance evaluation indexes of the heat storage device; performing normalization processing on the performance evaluation index of each heat storage device; according to a specific application scene demand, determining a weight factor of the performance evaluation index; and weighting and sequencing the performance evaluation indexes to obtain a heat storage scheme decision with the highest score. The method has the technical effect that the optimal heat storage scheme decision can be quickly and efficiently obtained.

This article creation support device includes a storage unit including a progress information database, an AI selection database, and a prompt database, a document proposing unit that proposes the result of a document creation request to a user, a title proposing unit that proposes the result of a title creation request to the user, a summary proposing unit that proposes the result of a summary creation request to the user, and a review proposing unit that proposes the result of a review request to the user, wherein: the review proposing unit accepts a modification request based on the review result from the user, requests any of a plurality of generative AIs to modify the document, and proposes a modification result received from any of the plurality of generative AIs to the user; and the title proposing unit and the summary proposing unit request any of the plurality of generative AIs to modify the title and the summary on the basis of the modification request, and propose a modification result received from any of the plurality of generative AIs to the user. (Selected drawing: fig. 1)

To improve efficiency of drive control of a rotary machine.SOLUTION: A rotating machine control device 7 for controlling a rotating machine having a first winding 2 and a second winding 3 magnetically coupled to the first winding 2 via first and second inverters 5 and 6 connected to the first and second windings, respectively, the rotating machine control device 7 including a first controller 20 that outputs a drive signal to at least one of the first and second inverters based on an operating condition that is a combination of a rotational speed of the rotating machine and a control command, the first controller has two control modes including a first control mode in which a drive signal is output to both the first and second inverters and a second control mode in which a drive signal is output to only one of the first and second inverters, has a database in which a total loss in both the control modes is associated with each of a plurality of operation conditions, and selects a control mode in which the total loss is lower based on the database.SELECTED DRAWING: Figure 1