15 results about "Specific data source" patented technology

The application relates to a system test operation scene mirror recovery method and device and a storage medium, and belongs to the technical field of test scene recovery. Specifically, a software embedded point component is embedded in different platforms to obtain operation data of multiple platforms; a test environment is deployed, and all services of the software to be tested are containerized deployed according to different versions and different environments; thus, the data sources and scenes of different versions can be effectively distinguished, and confusion and misoperation during mirror recovery are avoided; in the test process, the containers are time-sequenced mirror mapped through a preset slicing mechanism; system error logs in the mirror information data of different time sequences are analyzed to obtain error services and corresponding error moments; scene recovery is performed according to system running data and mirror information data of the error moments, and automatic operation restoration is performed through data collected by the embedded point; thus, specific data sources and operation scenes can be effectively traced back, and the problem root cause can be accurately located.

The application discloses a kind of methods for supporting the unified management and query of multi-cluster heterogeneous data source, belong to big data technical field, comprising: S1: start DataLinks Executor component service;S2: user uploads custom driver for specific data source, and uses the custom driver to configure data source, then click test connection;S3: after test connection passes, enter unified query menu page, select the data source of test connection pass, and write the SQL statement that needs to be executed;S4: when executing SQL statement, Druid connection pool records the SQL statement executed, and DataLinks Executor regularly collects the data source information in the Druid connection pool, and carries out summary statistics;S5: the load balancing algorithm of DataLinks Executor selects the node with lower load in the summarized data source information, and allocates query task to each node.Greatly simplify the configuration process, so that user can more conveniently and efficiently manage and operate multi-cluster data source, thereby solve the problem of multi-cluster data source connection and control.

A specialized computing environment that includes hardware and data security features to enable competitive organizations to co-analyze proprietary data without revealing the underlying proprietary data to unauthorized users. Proprietary data are stored in volatile memory, which may be automatically erased according to pre-stored criteria. The analysis is performed automatically by a processing unit without human intervention. Analytical results are sanitized (e.g., using data masking) to prevent the analytical result from being tracible to any particular data source. Sanitized analytical results are output without outputting the underlying proprietary data (except to users authorized to validate analytical results). The computing environment is enclosed within a secure enclosure (e.g., a steel box with a lock), does not include any peripheral devices outside the secure enclosure, does not communicate wirelessly, and does not have hardware ports accessible from outside the secure enclosure (except, in some embodiments, a wired connection for a web server).

Methods, systems, and computer-readable media are provided for delivering healthcare records with low latency. Healthcare data is collected from various disparate healthcare data sources. The data is filtered in accordance with routing rules to identify healthcare data to deliver to a processing node. The routing rules specify that healthcare data from a particular originating source of a particular data type is to be delivered to a particular processing node. The healthcare data is converted to a local format for use by a computing solution. This system of delivering healthcare data with low latency ensures that the data is delivered to the correct location in the correct format, even if the routing rules change.

A system and method of processing datasets that are compliant to a layer 2 (L2) protocol of an open systems interconnection (OSI) model in a cloud computing environment on behalf of an edge computing environment. The method includes receiving, from the edge computing device, a set of L2 frames. The method includes detecting one or more errors in the set of L2 frames based on an L2 protocol of the OSI model. The method includes correcting the one or more errors in the set of L2 frames to generate a corrected set of L2 frames. The method includes generating, by a processing device of a cloud computing system, a processed dataset based on the corrected set of L2 frames.

This application provides a method and system for processing electroencephalogram (EEG) signals applied to neuromodulation. The method includes: based on standardized key patient information, determining the degree of difference between the key patient information and the information reflecting the inherent characteristics of the data source, and the degree of difference between the key patient information and the information represented by the established common disease pattern, respectively, according to pre-stored information reflecting the inherent characteristics of the data source and information represented by the common disease pattern; judging whether the key patient information is affected by the inherent characteristics of a specific data source and whether it deviates from the common disease pattern based on the determined degree of difference; and assessing the applicability of a preliminary neuromodulation plan generated for the patient based on the judgment results; triggering strategy adjustment when the applicability assessment results of the preliminary neuromodulation plan show insufficient applicability. This application can improve the personalization and effectiveness of neuromodulation therapy.

Systems and methods are described for implementation by a streaming data processing system of a processing pipeline that obtains data items from one or more data sources. The one or more data sources may include multiple partitions of a topic or multiple topics. The one or more data sources are defined by a data pattern, a group of tenants, or a process. The implementation of the processing pipeline can include identifying the one or more data sources to obtain data items. The processing pipeline can include a plurality of processing tasks to obtain the data items. The streaming data processing system can utilize a workload coordinator to dynamically assign particular data sources to particular processing tasks. The implementation of the processing pipeline can further include executing the plurality of processing tasks to cause processing tasks to obtain data items from assigned data sources and process the data items.

A system and method of processing datasets that are compliant to a layer 2 (L2) protocol of an open systems interconnection (OSI) model in a cloud computing environment on behalf of an edge computing environment. The method includes receiving, from the edge computing device, a set of L2 frames. The method includes detecting one or more errors in the set of L2 frames based on an L2 protocol of the OSI model. The method includes correcting the one or more errors in the set of L2 frames to generate a corrected set of L2 frames. The method includes generating, by a processing device of a cloud computing system, a processed dataset based on the corrected set of L2 frames.

This invention discloses a read-only monitoring compliance isolation method and system based on contractual output, belonging to the field of data monitoring technology. The system includes a protocol layer, a platform layer, a binding layer, an output layer, a read-only constraint module, and a responsibility boundary declaration module. The protocol layer defines a general capability contract, the platform layer implements the data acquisition logic of specific data sources, and the binding layer establishes the matching relationship between the two. The output layer distributes standardized data based on communication contracts, record contracts, and action contracts. The read-only constraint module restricts the system to perform only read-only operations. The responsibility boundary declaration module attaches responsibility boundary identifiers and generates interaction logs. This invention, through a decoupled architecture and contractual output mechanism, enables configurable expansion of multi-data source access, improving the system's data security, output scalability, and interaction traceability.

A method including receiving a user-specific query. User data is extracted from a user-specific data source and converted into a graph data structure that defines relationships between data elements contained in the user data. The graph data structure is stored in a data schema. A prompt is constructed for a language model. Constructing includes adding, to the prompt, the graph data structure such that, when executed, the language model processes both the relationships and the data elements in the graph data structure. Constructing also includes adding, to the prompt, a first command to reference a context including context data stored in the data schema. Constructing also includes adding, to the prompt, a second command to generate an output from the context. The output is indirectly related to the user data. The language model is executed with the prompt to generate the output. The output is returned.

The application provides a method and device for generating a question and answer pair data set and a question and answer model, and belongs to the technical field of artificial intelligence. The method comprises: dividing each answer data source in an answer data set to obtain a plurality of first answer segments, each first answer segment being configured with source metadata; matching at least one first answer segment for each question in a question data set to construct a context set for generating an answer to the question; generating an answer for any question in the question data set based on the question and the context set of the question, constructing a question-based question and answer pair based on the question and the answer, the question and answer pair comprising the question, the answer to the question, and a reference mark of the answer; and taking the set of question and answer pairs corresponding to all questions as the question and answer pair data set. The application attaches source metadata to each answer segment obtained by dividing the answer data set, so that the answer to the question pair is configured with a clear reference mark, and the answer can be traced back to a specific data source.

The invention provides a measurement and control integrated interactive design method and system for comprehensive operation and management Internet of Things equipment, and relates to the technical field of data processing, and the method comprises the steps: building column classification and menu hierarchy based on an Internet of Things equipment instance configured with a monitoring function, associating the column classification with a preset interface layout framework, and setting a menu hierarchy; binding the interface layout framework with the corresponding space to obtain column configuration of the associated space and the framework; based on column configuration of the associated space and framework, arranging a telecommand picture component and a telemetering text component corresponding to measurement and control parameters of the Internet of Things equipment to specified positions of an interface layout framework to complete visual layout, and binding with a specific data source of an instance of the Internet of Things equipment to obtain a visual interface bound with the data source; based on the visual interface bound with the data source, state judgment is carried out according to the alarm threshold value, a control instruction is sent to the Internet of Things equipment instance, and full-link integrated interaction is achieved. According to the invention, standardization, visualization and integrated interaction of measurement and control of the Internet of Things equipment can be realized, and the equipment management and control efficiency and precision are improved.

This provides a computer-based method for locking blockchain transactions based on undecided data. [Solution] A lock node can include a lock script in a blockchain transaction to lock a digital asset. The lock script includes the public key of a specific data source and instructions to a verification node executing the lock script to verify the source of the data provided in the unlock script by a) generating a modified public key based on the public key of the specific data source and the data specified in the unlock script, and b) evaluating the cryptographic signature in the unlock script based on the modified public key. A blockchain transaction containing a lock script is sent to the blockchain network by the lock node.

A system is configured to implement data compression on a set of data objects. The system includes a processor configured to obtain the set of data objects. The data objects specify, source, type, size, and polarity data for a plurality of transactions. The processor is configured to implement an optimization procedure based on constraint data associated with the sources for the data object. The optimization procedure reduces aggregate size data for the set of data objects via operation on at least a subset of the data objects, the subset associate with a particular data source.

Methods and systems are provided for a platform and language agnostic method for generating inter- and intra-data type aggregations of heterogeneous disparate data upon which various operations can be performed without altering the structure of the query or resulting distributed data set representation to account for which specific data sources are included in the query.