14 results about "Federated databases" patented technology

The invention relates to a gold mine three-dimensional modeling and target prediction method based on multi-source data fusion. Aiming at the problems of low grade and large burial depth span of the layered hydrothermal gold deposit and two-dimensional limitation and distortion caused by single-source data existing in a traditional modeling method, a three-dimensional joint database is constructed by integrating multi-source data. According to the technical scheme, a three-dimensional joint database is utilized, earth surface, geological stratum, fault occurrence and trend information is determined, and a three-dimensional earth surface and structure model is constructed; based on an explicit and implicit combined modeling method, three-dimensional space distribution of two-long-spot rocks is determined, and a three-dimensional lithologic model is constructed; a structure-lithology coupling constraint modeling method is innovatively adopted, and a three-dimensional grade model is constructed by utilizing an implicit modeling method under the common constraint of a structure model and a lithology model; and finally, target area delineation is carried out according to the three-dimensional geologic model. Compared with a traditional method, the method has the advantages that the problem of distortion of model construction caused by a single data type is effectively solved, and accurate depiction of the ore body is realized. And the constraint of the cause mode on the three-dimensional model is highlighted, so that the target region delineation is more in line with geological knowledge.

Techniques and solutions are provided for implementing query constraints. A keyword in a query language is provided that indicates the presence of a constraint. During query execution, if the constraint is not satisfied, the query can be terminated / caused to fail. In some cases, the keyword is introduced into a query by a query optimizer. In a specific example, the keyword is introduced as part of optimizing a query where at least some query operations are performed using a federated database system. The keyword indicating the constraint can be included in a query language statement and sent to the federated database system for execution. If the constraint is not satisfied, the federated database system can send a failure notification to the main database system.

The invention belongs to the technical field of tunnel engineering, and discloses a tunnel intelligent drainage and stable control optimization method based on a water-rock coupling model. According to the method, a tunnel four-dimensional monitoring network is constructed to collect multi-source heterogeneous data, and a geology-mechanics-hydraulic joint database is constructed; constructing a water-rock coupling model by adopting a heterogeneous numerical simulation platform based on the joint database, and updating model parameters through an intelligent inversion algorithm; capturing data spatio-temporal characteristics and predicting physical quantity changes by using a prediction model optimized by transfer learning, and generating a control strategy in combination with an optimization algorithm; after execution of the edge controller, model parameters are corrected according to execution effect feedback; and the model and real-time data are integrated through a digital twin platform to realize visual management and control. According to the method, the adaptation of tunnel drainage and stable control is realized, the accuracy and timeliness of a control decision are improved, the construction safety is enhanced, the energy consumption is reduced, and the method is adaptive to complex geological working conditions.

The invention discloses a mine fully-mechanized coal mining equipment state identification and Wi-Fi transmission method based on deep learning, and relates to the technical field of mine equipment state monitoring, and the method comprises the steps: collecting equipment operation parameters and environment vibration data, and constructing a space-time-vibration combined database; analyzing a vibration multipath effect by combining a Rayleigh fading model and Monte Carlo simulation, and calculating a path loss value; constructing a space-state-multipath matrix by using a deep learning model, generating a multi-dimensional characteristic spectrum of the equipment, screening abnormal equipment based on health scores, and performing analysis to obtain abnormal scores; through comparison with a preset threshold value, three-level dynamic responses, namely a conventional mode and an enhanced recognition mode, are realized; for a high-concurrency scene, a sliding window statistics and priority flow limiting mechanism is adopted. Self-adaptively adjusting a threshold value and optimizing a multi-path compensation strategy by evaluating the recognition accuracy, the communication stability and the resource consumption; according to the method, the state recognition precision and the communication reliability of the underground equipment are remarkably improved, and meanwhile, the resource utilization efficiency is guaranteed.

Example solutions for optimizing an initial query execution plan for a federated database includes identifying a group of operations in the initial query execution plan that conform to a recognized pattern including fetching data from a data store. Based on detection of the pattern and of the presence of a condition, an optimized query execution plan is created from the initial query execution plan by replacing the group of operations with a first execution branch and a second execution branch, wherein the optimized query execution plan executes at least one of the first and second execution branches. The first execution branch includes first operations for fetching the data from a first data store and the second execution branch comprise second operations for fetching at least a subset of the data from a second data store.

An artificial intelligence enabled advanced treatment management system (AI-ATMS) is configured to improve inter-actions and outcomes from a multidisciplinary patient care team. The AI-ATMS includes advanced integration with an artificial intelligence system with access to federated databases. The AI-ATMS is configured for the real-time engagement with the patient-treatment team in a manner that provides the patient-treatment team with context-related data elements, while also permitting the patient-treatment team with the ability to train the AI-ATMS during the engagement. The AI-ATMS may be for treating a cancer or other medical condition.

In an aspect, a method for migrating data records to a federated database system includes obtaining data records from a data source in a first federated database system; generating a data snapshot file based on the obtained data records and data indicative of a characteristic associated with the obtained data records; generating a hash of the data snapshot file to prevent modification of the data snapshot file; storing the data snapshot file and the generated hash in a data storage; migrating the obtained data records from the data snapshot file to a data target in a second federated database system, the migrating including: retrieving the data records from the data snapshot file stored in the data storage; providing the retrieved data records to the data target according to a mapping between a characteristic of the data source and a characteristic of the data target.

Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.

The invention belongs to the field of cell culture automation and intelligent regulation and control, and discloses an optogenetics-based adherent cell culture optimization method and system. The method comprises the following steps: inputting an adherent cell type and a culture target, and calling an adherent cell-optical genetic parameter joint database; performing targeted pretreatment on the target adherent cells; processing through a multi-parameter optimization algorithm hardware platform to generate an executable customized photostimulation scheme; performing accurate light stimulation on the positive adherent cells; comparing the obtained detection data with normal adherent cell parameters in a joint database, and evaluating the influence of a photostimulation scheme on the cells; updating the parameters of the multi-parameter optimization algorithm and the prediction model; and inputting the adherent cell type and the culture target to the updated prediction model, and outputting an optimal light stimulation scheme. The core problems of low photostimulation accuracy and poor targeting in the prior art are solved, and high-activity and high-consistency light-sensitive adherent cells are stably produced.

Example solutions for optimizing an initial query execution plan for a federated database includes identifying a group of operations in the initial query execution plan that conform to a recognized pattern including fetching data from a data store. Based on detection of the pattern and of the presence of a condition, an optimized query execution plan is created from the initial query execution plan by replacing the group of operations with a first execution branch and a second execution branch, wherein the optimized query execution plan executes at least one of the first and second execution branches. The first execution branch includes first operations for fetching the data from a first data store and the second execution branch comprise second operations for fetching at least a subset of the data from a second data store.

A method of securely accessing a database with sensitive data, such as the clinical information of patients, by a client in a privacy-preserving manner, including: communicating with the server to obtain tags for specific attribute-value pairs when the client is authorized to make a query; imposing a tag quota per client and restricting tag generation to authorized query terms with valid digital signatures from a third-party authority; storing the tags and their associated query terms in confidence for future queries; sending a combination of tags that define the terms of a conjunctive query over a secure channel to a proxy; receiving from the proxy encrypted coefficients of a polynomial whose roots are indices to the query results; decrypting the encrypted coefficients in a first protocol with the server; calculating the roots of the polynomial based upon the decrypted coefficients and discarding any superfluous roots; obtaining the encrypted records associated with the calculated roots from the proxy; and decrypting the encrypted records in a second protocol with the server.

This invention discloses an intelligent identification method, system, and device for quality defects in hardened concrete vibration: A spatiotemporal-process joint database is constructed through data acquisition and annotation; enhanced visual feature vectors are obtained through image preprocessing and feature extraction; knowledge graph vectors are obtained through knowledge graph construction and semantic encoding, generating a unified semantic vector; cross-modal fusion and reasoning are performed to fuse the visual feature vectors and knowledge graph vectors, and the causes and levels of defects are inferred in conjunction with engineering specifications, resulting in fused multimodal features; structured defect description text is generated and optimized through text generation and optimization; based on the optimized defect description text and the original acquired image data, a structured report is generated, and the defect area and reasoning path are visualized on the image. This invention combines computer vision and natural language processing to automatically identify concrete vibration defects and generate structured reports, replacing manual inspection and improving quality control efficiency.

Example solutions for optimizing an initial query execution plan for a federated database includes identifying a group of operations in the initial query execution plan that conform to a recognized pattern including fetching data from a data store. Based on detection of the pattern and of the presence of a condition, an optimized query execution plan is created from the initial query execution plan by replacing the group of operations with a first execution branch and a second execution branch, wherein the optimized query execution plan executes at least one of the first and second execution branches. The first execution branch includes first operations for fetching the data from a first data store and the second execution branch comprise second operations for fetching at least a subset of the data from a second data store.

Techniques and solutions are provided for implementing query constraints. Keywords in a query language are provided that indicate the presence of a constraint. During query execution, if the constraints are not met, the query may be terminated / failed. In some cases, keywords are introduced into a query by a query optimizer. In a particular example, a keyword is introduced as part of an optimized query, where at least some query operations are performed using a federated database system. Keywords indicating the constraints may be included in query language statements and sent to the federated database system for execution. If the constraints are not met, the federated database system may send a failure notification to the primary database system.