16 results about "Data dependent" patented technology

This application relates to the field of network switching technology, and in particular to a network resource scheduling method based on a binary moth optimization algorithm. The method includes the following steps: generating a service requirement model, initializing the number of moths, and defining a service fitness function; calculating an initial moth path matrix and an initial flame matrix; iteratively optimizing the initial moth path matrix and flame matrix from the initial moth path matrix and initial flame matrix until a preset iteration termination condition is met, wherein in each iteration, the service fitness matrix of the current round of moths and flames is calculated and flame attenuation is performed; updating the flame positions in the flame matrix based on the updated moth paths; and selecting the optimal path from the final flame matrix as the service forwarding path. This invention solves the problem that existing technologies cannot cope with complex and dynamically changing QoS requirements, and has the characteristics of being data-independent and having low computational resource requirements.

The application discloses a data collection method, device and equipment, a storage medium and a program product, and is suitable for the technical field of data processing, and is used for reducing the data collection cost. The method comprises the following steps: adding a probe in a database packaging program, the database packaging program being a program for performing a packaging operation on data in a database; when an application calls the database packaging program to perform a packaging operation on data in a first database, obtaining changed data generated by the current call through the probe, and storing the changed data in a preset temporary storage area; and sending the data in the preset temporary storage area to a second database. Through the probe adding mode at the application level, the database changed data is obtained, the data collection tool is not depended on, and the data collection cost is reduced.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a preferred region that is query data dependent. One of the methods includes computing a preferred region for true query answers for a kernel differentially private mechanism using a noise value for a query for the kernel differentially private mechanism, a true query answer for a query for the kernel differentially private mechanism, and a relative error ratio for the preferred region; computing, for a kernel differentially private mechanism, a privacy parameter and a boosting rate that increases variance in outputs for the kernel differentially private mechanism using the preferred region; receiving, from a downstream system, a query for data from a dataset; generating a response to the query that includes noise data using the kernel differentially private mechanism that includes the privacy parameter; and transmitting, to the downstream system, the response to the query.

The embodiment of the invention provides a request processing method and device, equipment, a storage medium and a program product. The method comprises the steps of obtaining an initial demand of a user, generating a travel scheme according to the initial demand, receiving a real-time demand of the user after the travel scheme is generated, generating a real-time request in a natural language format according to the real-time demand, and sending the real-time request to the user. Determining a plurality of plug-in tools corresponding to the real-time demand of the user based on the real-time request in the natural language format and the generated travel scheme, respectively calling corresponding interfaces through the plurality of plug-in tools to obtain dependency data of the real-time demand of the user, and updating a single-day travel in the travel scheme according to the dependency data, and feeding back the updated single-day journey to the user terminal. The method is used for achieving the effects of improving the accuracy and comprehensiveness of the travel scheme, improving the travel convenience, improving the travel planning efficiency and enhancing the travel experience of the user.

This invention discloses a data analysis method, apparatus, device, medium, and product, belonging to the field of data processing technology. The method includes: acquiring a document to be analyzed in the pharmaceutical field; inputting the document into a predetermined language model to obtain data analysis results, the data analysis results including sub-analysis results corresponding to at least one target indicator; wherein the predetermined language model is used to analyze the document to obtain a combination of target indicators; for each target indicator in the target indicator combination, determining a template combination corresponding to the target indicator based on a predetermined knowledge base; generating a target script for the target indicator based on the template combination; and calling an application corresponding to the target script to execute the target script, thereby obtaining dependent data corresponding to the target indicator from a predetermined database, and determining sub-analysis results for the target indicator based on the dependent data. The technical solution of this invention can significantly reduce the reliance on professional personnel in the data analysis process.

This invention relates to the field of seismic signal exploration technology, specifically disclosing a method and apparatus for single-shot energy correction in seismic data contiguous processing. The method includes: performing geometric diffusion energy compensation processing on all single shots across the entire area to obtain single-shot data; generating single-shot energy attributes corresponding to each shot across the entire area based on the single-shot data; smoothing the text format of the single-shot energy attributes to generate single-shot energy adjustment factors; and performing amplitude correction processing on the original single shots based on the single-shot energy adjustment factors. This invention, by statistically analyzing the energy attributes of the original single-shot data, smoothing the energy attributes across the entire work area, extracting energy correction factors for each single shot, and applying these correction factors to the original data, thereby reducing the significant energy differences between blocks. It adaptively reduces the dynamic range of energy distribution in the data, providing good data preparation for subsequent surface-consistent energy compensation methods, and achieving consistency between changes in data energy intensity and objective changes in subsurface lithology.

The application relates to a secure data collection method based on entity key authentication and session key encryption. Based on the embodiment of the application, the application carries out bidirectional key authentication between two application ends through an entity-based bidirectional key authentication and session key encryption technology, and proposes a data collection method for data encryption based on the secure authentication method of entity key authentication and session key encryption. The data collection method can be used for the secure data collection of automatic driving and high-precision maps of intelligent networked vehicles, and can be used for offline data collection and online data collection. Compared with the existing offline data collection method, the offline data collection method of the application has high security and does not need to rely on the physical security mechanism of data collection personnel. Compared with the existing offline data collection method, the online data collection method of the application does not need to use a special person to transfer a storage device, has small investment, good real-time performance and high security.

The application discloses a structured target counting system based on prior knowledge, relates to industrial counting technology, and is proposed in view of the low detection reliability and other problems in the prior art.The system workflow comprises the following steps: S1, constructing a category-aware aspect ratio constraint condition;S2, introducing an aspect ratio out-of-bound penalty;S3, clustering and sorting based on x coordinates;S4, calculating adjacent gaps and constructing a virtual frame;S5, matching categories and inserting a new detection frame;S6, outputting final detection and counting results.The structured target refers to a target object with regular geometric structure characteristics and in a dense arrangement form.The application has the advantages that by introducing structure prior and scene prior knowledge, the limitation of a traditional target detection framework relying only on data-driven learning is broken, the target detection model has significant geometric structure perception and scene understanding capability, and obvious technical advantages are embodied.

This invention relates to the field of database synchronization technology, and provides a method and apparatus for DDL synchronization executed in groups. The method involves receiving log information and classifying it into multiple transactions, then further classifying these transactions into at least one ordinary group or DDL group to obtain first transactions and second transactions. Committed but not yet entered into the database are retrieved from all the ordinary groups, and these first transactions are entered into the database. After the first transactions in the corresponding ordinary groups are entered into the database, the committed but not yet entered second transactions in the DDL groups are also entered into the database. This invention, by setting up separate DDL groups, temporarily withholds second transactions that cannot find dependent database objects from the database until the dependent database objects are created, thus avoiding synchronization failures due to transactions that cannot find dependent database objects. This addresses the problem that unsuccessful synchronization of interdependent database DDL operations may cause data synchronization errors.

This application discloses a database cardinality estimation method and program product based on query embedding, relating to the field of database processing technology. The database cardinality estimation method based on query embedding extracts features of data distribution information through a data distribution embedding module, enabling cardinality estimation to perceive changes in data distribution in real time. It also extracts semantic features of database query statements through a query statement embedding module, allowing cardinality estimation to rely on stable features in the database schema (such as data distribution and column correlation) for inference even when features are missing, reducing the risk of overfitting the cardinality estimation model to surface-level query semantics. Furthermore, it identifies the correlation between query semantics and data distribution through an attention mechanism, and the features of both are weighted and fused to generate a query feature vector. This generated query feature vector simultaneously contains the semantic logic of the query intent and the real-time state of the data environment, improving the robustness of cardinality estimation.

The application discloses a dynamic knowledge consistency management and gating control method based on a dependency graph, comprising the following steps: acquiring source knowledge data, downstream dependency data and knowledge state structure information, constructing a dependency graph, detecting that the source knowledge data is added, changed, invalidated, replaced or state-switched, determining an affected subgraph, performing differential consistency verification on downstream dependency nodes in the affected subgraph, generating a control result according to the verification result and the node type, and writing the control result into a management record to perform update control, query control, output control or state-switching control. The method can improve the consistency management efficiency, control accuracy and closed-loop control capability in a dynamic knowledge environment.

The application belongs to the technical field of script running monitoring, and specifically provides a method and device for solving data loss caused by abnormal script running, which comprises the following steps: automatically identifying abnormal processes of a monitoring and collecting script, and classifying the abnormal processes; processing the abnormal processes and persisting dependent data for abnormal process data recovery and abnormal process collection item recovery; recovering data collected by the abnormal processes and persisting the data to a database; obtaining fault information of the abnormal processes, and when it is determined that the abnormal processes are recoverable according to the obtained fault information, adding collection items of the abnormal processes to a recoverable collection queue. The application can automatically identify a hung collecting script, can process abnormal collection items through various abnormal process destruction strategies, and can completely solve the problem of abnormal process data loss.

A hydration monitor comprising: a container (1) for holding and dispensing a hydration liquid; a volume sensor operable to derive data dependent on the current quantity of the hydration liquid in the

The present application relates to a kind of data acquisition methods, comprising: obtaining the data blood relationship corresponding to the first data type;Determine the dependent data type corresponding to the first data type and the metadata of dependent data type based on data blood relationship;Wherein, dependent data type indicates the data type corresponding to the data required for generating the data of the first data type, metadata includes at least one of the description information, constituting information and flow information of dependent data type;Generate the data acquisition plan corresponding to dependent data type based on metadata;Execute data acquisition plan, obtain the dependent data for generating target data.Through this method, the dependent data type for generating target data can be obtained according to data blood relationship, so as to formulate data acquisition plan and execute according to the metadata of dependent data type, and then obtain dependent data, and the configuration efficiency of data acquisition plan is improved, so that the acquisition efficiency of the data corresponding to new data type is improved.