2667 results about "File storage" patented technology

Techniques are described for partitioning B-tree keys of file systems into key ranges for parallel processing in delta generation during file storage replications between file systems in different cloud infrastructure regions. In certain embodiments, a delta generation processing for cross-region replication may utilize a key-range splitting mechanism involving a recursive algorithm that partitions B-tree keys of a source file system into roughly equal-size key ranges. All the partitioned key ranges may be processed in parallel and concurrently by different processing threads, one thread per key range, to improve the performance of the delta generation and achieve scalability.

The invention discloses an enterprise registration archive sharing and shareholder right-of-knowledge guarantee system based on full-chain data tracing and auditing, and relates to the technical field of archive management. The system comprises an identity authentication module, an archive storage management module, an archive sharing module, a shareholder right of knowledge guarantee module, a comprehensive statistics module and a system security module. According to the system, full-chain tracing of archive data is realized by utilizing a block chain technology, all change operations are completely recorded, and the transparency of archive management is remarkably improved; the security and authenticity of the shared archive are ensured through electronic signature, watermark and two-dimensional code anti-counterfeiting technologies; shareholders can track stock equity states and change records of enterprises in real time and know enterprise change information in time through a dynamic notification mechanism, so that the right of knowing of the shareholders is comprehensively guaranteed; through dynamic encryption, authority management and abnormal behavior detection, the security of file storage and access is ensured, and data leakage and tampering are effectively prevented.

The present application discloses a data management method, apparatus and system for a distributed storage system, and an electronic device. The method comprises: traversing all storage paths in a target distributed storage cluster, and acquiring file storage information of the storage paths during traversal; on the basis of the file storage information, calculating a redundancy policy score of each storage path, and on the basis of the redundancy policy score and a first redundancy policy score threshold, determining a storage policy adapted to the storage path; when it is determined that the storage policy adapted to the storage path is an erasure code storage policy, determining a data recovery mode of the storage path on the basis of the architecture information of the storage path; and when it is determined that the storage policy adapted to the storage path is a multi-copy storage policy, determining the number of copies of the storage path on the basis of a service importance degree of the storage path and the redundancy policy score.

Example model invoking methods and apparatus are described. In one example method, a first device verifies model use permission of an artificial intelligence (AI) application based on a model identifier of a to-be-invoked target AI model and a permission verification parameter of the AI application to ensure that the AI application is a valid application that has use permission. When the verification on the model use permission of the AI application succeeds, an encrypted model file of the target AI model is decrypted in a trusted execution environment (TEE) to obtain a decrypted model file. The decrypted model file is directly loaded to a memory to run the target AI model. In the entire process, the decrypted model file of the target AI model is stored in the memory.

Techniques are described for efficient replication and maintaining snapshot data consistency during file storage replication between file systems in different cloud infrastructure regions. In certain embodiments, provenance IDs are used to efficiently identify a starting point (e.g., a base snapshot) for a cross-region replication process, conserve cloud resources while reducing network and IO traffic.

Techniques are described for efficient replication and maintaining snapshot data consistency during file storage replication between file systems in different cloud infrastructure regions. In certain embodiments, snapshot creation and deletion requests that occur during cross-region replications may be temporarily withheld until appropriate times to execute such requests safely, depending on the timing relationship between such requests and cross-region replication cycles.

A system for data collection related to a fluid conveyance environment includes a data acquisition circuit comprising inputs and outputs; input sensors to provide sensor data values, coupled to a component in the fluid conveyance environment; and a processor comprising the data acquisition circuit. The processor is configured to determine a data storage profile; responsive to the data storage profile, configure the data acquisition circuit to selectively couple at least one of the inputs to at least one of the outputs; interpret the at least one of the sensor data values; store at least a portion of the at least one of the sensor data values in response to the data storage profile; analyze a set of the sensor data values and determine a data quality parameter; and adjust at least one of the data storage profile and a data collection routine in response to the data quality parameter.

The invention discloses a memory combination screening method, device and equipment and a medium, and relates to the technical field of computers, and the method comprises the following steps: generating all memory files of a system-on-chip according to a preset memory naming rule; storing each memory file to a target memory library, obtaining all memory names based on the register transfer level code and a preset memory naming rule, and generating a memory list based on each memory name; acquiring corresponding physical parameter information from a target memory library based on each memory name in the memory list, and determining target physical parameter information of each memory split combination corresponding to each memory according to the physical parameter information; and screening the memory split combination based on a preset physical information threshold and the target physical parameter information to obtain a screened memory combination. According to the method and the device, the memory list can be quickly and accurately generated, and all combinations meeting constraints are screened out.

The invention provides a private deployment-oriented multi-modal AI knowledge base construction system. The private deployment-oriented multi-modal AI knowledge base construction system comprises a knowledge storage module, an intelligent document loading module, a document partitioning engine module, a data enhancement engine module, a multi-language semantic vector alignment module and a private deployment module, the knowledge storage module comprises a knowledge authority management sub-module and a knowledge source management sub-module, the knowledge authority management sub-module is used for managing and storing knowledge from different sources, and the knowledge source management sub-module is used for managing electronic documents and multimedia documents; according to the method, intelligent identification, partitioning, vectorization and source file storage can be carried out on different types of electronic files, knowledge graph construction is carried out for specific fields, semantic relevance between texts and topics and key entities is fully considered, the method has wider applicability, higher robustness and controllability, the data leakage risk is effectively reduced, and the method is suitable for popularization and application. The method is suitable for enterprise sensitive data protection and personal user elastic computing power requirements.

According to one aspect, a computing system is provided that includes processing circuitry configured to receive input data from multiple interaction modalities of a user, generate a multi-interaction-modality user interaction history from the input data, and extract memories from the multi-interaction-modality user interaction history using a trained memory-extracting generative model. The memories include natural language text descriptions of interactions in the user interaction history generated by the trained memory-extracting generative model. The processing circuitry is further configured to store the memories in file storage having an associated database with a vector search interface configured to receive memory retrieval queries. The computing system may further be configured to receive a user message via an interaction interface, retrieve relevant memories, generate a response-generating prompt with the user message and relevant memories, and use the prompt to generate a response to the user message with a generative language model.

A system for data collection related to a fluid conveyance environment includes a data acquisition circuit comprising inputs and outputs; input sensors to provide sensor data values, coupled to a component in the fluid conveyance environment; and a processor comprising the data acquisition circuit. The processor is configured to determine a data storage profile; responsive to the data storage profile, configure the data acquisition circuit to selectively couple at least one of the inputs to at least one of the outputs; interpret the at least one of the sensor data values; store at least a portion of the at least one of the sensor data values in response to the data storage profile; analyze a set of the sensor data values and determine a data quality parameter; and adjust at least one of the data storage profile and a data collection routine in response to the data quality parameter.

The invention discloses an enhanced information generation method and system fusing SBAS and PPP, and relates to a satellite navigation enhancement technology, and the method comprises the steps: receiving observation data of an SBAS and a global real-time monitoring station, and carrying out the file storage according to a standard format; carrying out precise orbit determination and forecasting by utilizing a stored standard format file and adopting a simplified dynamics method, and carrying out continuous calculation by taking one hour as a sliding window to generate a real-time precise orbit of the satellite; based on a satellite real-time precision orbit and real-time monitoring station data, a non-difference observation model and a sequential least square method are adopted for parameter solving, and a satellite real-time precision clock error is generated; solving an ephemeris and star clock differential correction number based on the broadcast ephemeris by using a satellite real-time precise orbit and a precise clock difference; and solving a covariance matrix and an integrity parameter by using the differential correction of the star calendar and the star clock. According to the method, two navigation enhancement technical means are fused, and the high-precision and high-integrity navigation positioning requirements are met.

In an example embodiment, a language server connected to an integrated Development Environment (IDE) is used to identify, from a given input code, various code artifacts, such as functions, variables, etc., and then to search a repository of code files for declarations, definitions, and references related to those identified code artifacts. The declarations, definitions, and references can then be passed as context into an LLM.

An illustrative method includes an access control list (ACL) management system generating an ACL file containing an ACL that describes one or more access permissions in a file system, storing the ACL file within an ACL directory structure, the ACL file uniquely representing the ACL in the ACL directory structure, generating an ACL identifier for the ACL file, and mapping, using the ACL identifier, the ACL file to one or more data files in the file system to apply the ACL in the ACL file to the one or more data files.

The invention provides a work plan and task management system, which belongs to the technical field of work plan tasks and comprises a portal layer, an application program interface gateway layer, a business service layer, a public service layer and a data layer. And the application program interface gateway layer realizes intelligent management of the interface through a self-adaptive division module, wherein the intelligent management comprises dependency analysis, granularity calculation, aggregation optimization and recombination execution. The business service layer focuses on work plans and task management, and realizes collaboration through flexible interface interaction. The public service layer provides basic support for user authentication, log recording, message queue, service registration, configuration management and the like. And the data layer adopts a diversified storage strategy, integrates a relational database, a cache database, a time sequence database and distributed file storage, and meets data processing requirements of different scenes. The problem that in the prior art, interface definition and calling relations between micro-services are difficult to manage in a self-adaptive mode is solved.

The invention provides an information processing method and system applied to all-flash file storage, and the method comprises the steps: firstly obtaining storage request information received by a target storage node, including a to-be-processed data block set and an expected storage attribute set, thereby describing the configuration requirements of storage capacity distribution, access path optimization and data compression level; extracting multi-dimensional features of a to-be-processed data block set to generate a data block feature vector, encoding attributes of an expected storage attribute set to generate a storage attribute feature vector, inputting the data block feature vector and the storage attribute feature vector into a pre-trained storage strategy generation model for dynamic weight fusion, and outputting a target storage strategy parameter set meeting configuration requirement constraint conditions; finally, relevant parameters are generated, the all-flash storage system is driven to execute distributed storage operation on the data block set, and efficient and intelligent all-flash storage information processing is achieved.

The invention relates to a distributed storage and synchronization system based on a block chain, and belongs to the technical field of distributed file storage. The system comprises a node management module, a data fragmentation and distributed storage module, a consensus mechanism module, a data synchronization module, a cross-chain interaction module, a client interaction module and a decentralized node network. By optimizing a consensus mechanism and introducing a fragmentation technology and a cross-chain technology, the problems of expansibility and consistency of an existing system are solved, and interoperability between different block chain networks is realized. The system has high expandability and flexibility, supports access of various block chain network protocols and intelligent contract standards, and is easy to popularize and apply.

The techniques disclosed herein enable systems to manage remote file storage systems while bolstering information security through file encryption on download and permissions labels. To achieve this, a site owner configures permissions for a network site that stores files and that enables encryption on download. Various users with file access via the permissions may then interact with the site. When a user downloads a file from the site, they receive an encrypted copy that includes a permissions label that synchronizes with the network site permissions. When a user attempts to interact with an encrypted file the permissions label is used by the system to determine whether the user is authorized to access the file. In addition, permissions that are changed at the network site can be propagated to downloaded encrypted copies. In this way, permissions can be enforced for all site files even when copies leave the network site.

To provide a mechanism capable of easily searching for information indicating a file storage location without being restricted by circumstances under which the file has been stored on a network.SOLUTION: A user terminal 101, which can be connected via a network 105 to a large language model server 103 in which a large language model searches for URLs being information indicating file storage locations on the basis of similarity of language vectors of natural language, comprises a CPU 201 that transmits, in natural language, a query sentence for inquiring about a file storage location to the large language model, and receives, from the large language model, a response sentence that conveys a URL being information indicating the file storage location searched by the large language model using a language vector of the natural language of the query sentence.SELECTED DRAWING: Figure 1

Methods, systems, and techniques for preventing and deterring unauthorized capture of analog data are provided. Example embodiments provide a Analog Data Loss Prevention System (“ADLPS”), which enables enterprise / company administrators to monitor access to analog data and to define and enforce customizable policies based upon defined risk profiles. The ADLPS platform is designed to identify violations of the “analog loophole” in organizations' data protection policies and to detect an accidental disclosure of confidential information, enabling enterprises to take appropriate steps for preventing data loss. In one example embodiment, the ADLPS comprises one or more ADLPS agents executing on each monitored endpoint device, one or more ADLPS agent backends, one or more ADLPS administrator user interfaces and backends, one or more databases, and one or more file storage devices / mechanisms. These components cooperate to detect security loopholes and enforce policies using advanced computer vision and machine learning models for object detection and recognition.

The invention relates to the field of financial science and technology, and particularly discloses a cross-platform financial data integration and real-time analysis system and method. The system is characterized in that a distributed heterogeneous data acquisition module accesses multi-source data in parallel through a pluggable protocol adapter; the streaming data cleaning engine realizes field-level normalization based on a dynamic template and semantic mapping; the hybrid storage architecture forms a three-level system by a memory database, a time sequence database and distributed file storage; the stream processing core engine adopts an elastic sliding window to execute CEP complex event processing; and the dynamic analysis decision module integrates online machine learning to generate a real-time transaction signal. The method comprises the steps of multi-source concurrent acquisition and microsecond-level timestamp injection, context sensing data standardization, dual-channel data storage, event time window aggregation, dynamic risk calculation and block chain audit evidence storage. The defects of low data fusion efficiency, high real-time analysis delay and the like in the prior art are overcome, and cross-platform data processing timeliness and decision accuracy are remarkably improved.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing the risks inherent in using machine learning and artificial intelligence (AI) tools. In one aspect, a system comprises accessing, by one or more computing devices, a repository of files, and analyzing, by the one or more computing devices, files stored in the repository to identify a subset of the files as candidates that contain or are potentially generated at least in part using one or more artificial intelligence (AI) processes. In another aspect, a system comprises identifying, based at least on one or more attributes indicative of artificial intelligence (AI) usage in a file, one or more automated tests to perform on the file, performing a user-selected automated test, storing results of the performed automated test to an inventory record, and using the results of the automated test to train a machine learning model.

The invention provides a star catalogue file generation method and device, a celestial body data query method and device, computer equipment and a storage medium. The star catalogue file generation method comprises the steps of obtaining star catalogue data; dividing the celestial sphere surface area corresponding to the plurality of celestial bodies into a plurality of local areas, and determining an identifier of each local area; determining an identifier matched with each celestial body data according to the right ascension and declination included in the celestial body data and the identifier of each local area in the celestial sphere surface area; sorting the celestial body data of the plurality of celestial bodies based on the identifiers corresponding to the celestial body data; and writing the sequenced celestial body data of the plurality of celestial bodies into an initial column storage file matched with the identifier to obtain a target file stored with the celestial body data, and generating file index information corresponding to the target file. The celestial body data is stored by utilizing the column type storage file, so that the problems of high maintenance cost and high use threshold caused by utilizing a database to store data are relieved while the data query efficiency is guaranteed.

The invention relates to an interface design method for a dynamic performance analysis and evaluation system of a virtual power plant. The interface design method comprises the following steps: dividing the dynamic performance analysis and evaluation system of the virtual power plant into a sensing layer, a communication layer, a data access layer, a data layer, a service layer, an application layer and a display layer according to functions; different interfaces are designed for each level, including a standardized data acquisition protocol and a high-frequency data transmission mechanism of a sensing layer, a multi-protocol compatibility and protocol conversion design of a communication layer, a unified data format and efficient data transmission of a data access layer, and a database interface and file storage interface design of a data layer. The authentication service, authority management and data access service of the service layer, the modular interface design and real-time data interaction of the application layer, and the cross-browser compatible design and data visualization function of the display layer. By optimizing the design of the system interface, efficient, safe and stable data processing and communication are realized, and the real-time performance, compatibility and user experience of the system are improved.

The invention discloses an archive arrangement system and method capable of achieving multilingual conversion, and relates to the technical field of archive arrangement. The system comprises a multilingual archive database, a semantic analysis module, a retrieval matching module and a user interaction interface; according to the method, a multi-language association retrieval system based on semantic understanding is constructed, a semantic deep mining algorithm, a cross-language semantic association algorithm and a semantic association degree algorithm are applied, the effect of accurately matching semantic similar contents in files of different languages is achieved, and automatic index updating and incremental updating algorithms are designed for a multi-language file database, so that the accuracy of the multi-language file database is improved. According to the method, the effect of efficient file storage and query is achieved, complexity and resource waste of index updating during new file input or information change are avoided, the effect of extracting semantic features more accurately is achieved by customizing preprocessing processes for different language texts and combining a word vector generation algorithm based on semantic context, and the efficiency of file storage and query is improved. And the accuracy and efficiency of multi-language archive arrangement are improved.

Systems and methods are provided for implementing deep search functionality using large language models (“LLMs”). In various examples, a computing system uses at least one LLM to generate intents based on a user query, to generate alternative queries based on a selected or identified primary intent, and to generate a relevance score for each search result that is obtained from a search utility (e.g., an Internet search engine, a file storage search utility, an email search utility, or a document storage search utility) in response to a primary query (corresponding to the primary intent) and the generated alternative queries being entered into the search utility. The search results from the search utility are sorted based on the corresponding generated relevance scores, and the sorted search results are caused to be displayed to the user as a deep search response to the user query.

This disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that can display icons for target digital content items and candidate destination folders within different sections of a multi-section graphical user interface (GUI) and adjust a corresponding file storage structure to reflect organization changes indicated by user interactions that move digital-content-items icons into folder icons. For example, the disclosed system can (i) display, within a first section of a multi-section GUI, icons representing digital content items and (ii) display, within a second section of the multi-section GUI, icons representing folders as candidate destination folders. Then, the disclosed systems can detect user interactions that move digital-content-item icons to folder icons and adjust an underlying file storage structure to reflect the organization indicated by the user interaction.

Techniques are described for performing different types of restart operations for a file storage replication between a source file system and a target file system in different cloud infrastructure regions. In certain embodiments, the disclosed techniques perform a restart operation to terminate a current cross-region replication by synchronizing resource cleanup operations in the source file system and the target file system, respectively. In other embodiments, disclosed techniques perform a restart operation to allow a customer to reuse the source file system by identifying a restartable base snapshot in the source file system without dependency on the target file system.

The invention relates to the field of medical data storage, and provides a chest electrical impedance tomography data file storage method, which comprises the following steps: acquiring monitoring data of a chest electrical impedance tomography, inquiring and optimizing a data storage format, extracting version identification information and authenticity verification parameters, integrating to obtain a verification data set, and storing the verification data set into a database; and analyzing a file reading protocol and a data frame format state, calculating a file analysis performance value, determining a storage optimization direction, analyzing data storage characteristics to calculate a storage capacity value, querying a data storage demand to construct a data storage instruction, and finally generating a file storage report. The storage efficiency of the medical data can be improved.

The invention relates to the technical field of file storage, and discloses a method and a system for storing multiple concurrent large files. According to the method and the system, the format and the size of a file are verified, a unique file name is generated and used for identifying metadata of a storage file and outputting the file, each small block of the file is divided into a fixed size and is divided into small blocks, a unique identifier is generated for each small block, a database is connected, and the metadata of the file is stored in the database. Then traversing each small block, selecting a storage node for each small block, uploading the small blocks by using multiple threads, setting a request queue, processing file uploading and downloading requests in sequence, avoiding concurrent write-in conflicts of the same file by using a lock mechanism for file uploading, and reading and controlling a read request through a read-write lock; and acquiring the information of the storage file from the database, acquiring each small block by utilizing a concurrent downloading mode, recombining the small blocks into an original file in sequence after downloading is completed, and performing integrity verification after file recombining.