110 results about "Metadata record" patented technology

This system provides a computerized method for executing a legally binding digital, comprising: creating a unique tokenized representation of the Pactvera using a non-fungible token standard; embedding a payment value or digital consideration into said token; verifying parties to the Pactvera through biometric authentication and decentralized identity (ChainIT ID) validated against an authoritative source; recording the Pactvera Validation with metadata including time, location, device ID, age verification, and jurisdiction; recording immutable authorship and origin metadata of the Pactvera, including verification of the creator and presenter through Pactvera Validation; validating the original token instance and execution context via a Business Rules Engine (BRE); and releasing payment or conditional consideration via smart contract upon satisfaction of predefined conditions. The invention further enables integration with electronic recording systems for real property transactions in compliance with the Uniform Real Property Electronic Recording Act and produces tamper-proof audit trails suitable for litigation and regulatory use.

The invention provides an intelligent laboratory environment safety monitoring system, which comprises a region division unit, an environment monitoring point, a partition environment data management unit, a data recording alarm unit and a visual display background, and is characterized in that the region division unit firstly performs gridding processing on a laboratory space to form a plurality of laboratory partitions; the environment monitoring points are arranged in the laboratory subareas, monitoring layers are divided in each laboratory subarea, at least two sets of environment monitoring points are arranged in the corresponding monitoring layers in each laboratory subarea, environment data collected by the environment monitoring points are sent to the subarea environment data management unit, and the subarea environment data management unit summarizes the data in all the environment monitoring points and sends the summarized data to the environment monitoring points. And a time data relation curve is drawn according to the environment data of the corresponding monitoring layer in each laboratory partition, and the data recording and alarming unit records the time data relation curve and sets limiting intervals in different time periods.

The embodiment of the invention discloses a message transmission method and device, and the method comprises the following steps: carrying out the structure recognition and semantic segmentation of original message data based on a pre-configured partitioning strategy, and generating a plurality of pieces of partitioning data with the structural integrity; generating a metadata record containing a task identifier, a block index, a total block number, a structural hash abstract and a receiving timestamp for each piece of block data; performing data normalization processing on each block of data, wherein the processing comprises the steps of unifying character codes and removing line feed characters and space characters; and sending the data of each block in a transaction mode through a Kafka message queue, and dynamically adjusting the block retry sending time interval and the upper limit of the number of times according to packet loss and delay indexes. According to the embodiment of the invention, the business service can be effectively decoupled, the throughput of the system is remarkably improved, efficient sorting and complete recombination of the block data are realized, and the transmission reliability is further improved.

The invention relates to the technical field of data sharing, and discloses a technical database sharing and verification matching system and method based on a block chain technology, and the method comprises the steps: determining shared data according to data contents and metadata records in a technical database; after the shared data is encrypted, setting a query verification mode and a query index of the encrypted shared data to determine a sharing rule of the shared data; according to the sharing rule, identifying an identity type of the data sharing request, and extracting identity verification data of the identity type to set a permission verification mechanism; setting a decryption interval of the shared data by using a permission verification mechanism and a digital signature extracted from the identity verification data; decrypted data is extracted from the decryption interval to be matched with the data sharing request, and a sharing verification result of the technical database is analyzed according to a matching result; according to the invention, the security of data sharing can be ensured, and the trust degree between the data provider and the data requester is improved.

Various examples described herein are directed to systems and methods for managing a cloud-implemented database management application, the method comprising. At least one cloud service may receive a request from a first user group to launch a first instance of the database management application. The at least one cloud service may access a version metadata record for the database management application and use the version metadata record to launch the first instance of the database management application. The at least one cloud service may store first instance metadata for first instance of the database management application at a container management metadata persistence associated with the first instance of the database management application. The first instance metadata may comprise an indication of the first container image.

The invention discloses a distributed file backup method for a sonar database system, which belongs to the technical field of sonar data processing and comprises the following steps: acquiring file data containing underwater acoustic signal data from the sonar database system; fragmenting the file data to generate data blocks and dynamically adjusting the sizes of the data blocks; generating a unique identifier for the data block based on the content hash value and the metadata; selecting distributed storage nodes based on availability, storage capacity, network delay and geographical distribution factors; the transmission data block uses an encryption protocol; updating the storage position and state of the backup metadata record; periodically verifying the integrity and availability of the backup data; executing a data recovery process to recover the original file data; the dynamically adjusted backup policy is based on real-time operation requirements and data importance levels. According to the method, through distributed storage and dynamic optimization, the backup efficiency, the data security and the system reliability are improved, and the method is suitable for sonar data management in an underwater detection system.

The invention discloses a blockchain zero-knowledge proof collaborative credit risk control data privacy protection query method, and belongs to the technical field of financial science and technology and information security. According to the method, a four-layer architecture of a feature importance analysis layer, a zero-knowledge proof verification layer, a block chain intelligent contract layer and an audit log layer is constructed, so that the contradiction between privacy protection and data availability in a traditional credit risk control system is solved. According to the system, an SHAP value is adopted to calculate feature importance, a zk-SNARKs verification circuit is deployed for high-sensitivity features, zk-STARKs lightweight verification is adopted for low-sensitivity features, and differential privacy protection is achieved. And dynamically adjusting the complexity of a verification algorithm according to the credit risk score of the user, and realizing dynamic authority control based on a verification result through an intelligent contract. The verification metadata is recorded to the block chain to form a tamper-resistant auditing log, and it is ensured that the query process is transparent and traceable. According to the method, the real-time risk control requirement is met while the privacy of the user is protected, and a compliant and efficient data query solution is provided for financial institutions.

The invention relates to a retrieval routing optimization method and device based on a distributed retrieval system, and relates to the field of computer technology distributed retrieval, the method comprises the following steps: obtaining inverted metadata of a document, including routing information, fragmentation information and a document storage identifier, judging whether the document is a new document, and combining the resource state and availability of each node to optimize the retrieval routing optimization of the document. And determining an optimal routing path by adopting an optimal execution fragmentation formula. A retrieval request is split into a plurality of sub-requests and is directionally issued to a target fragment, and the coordination node integrates return results of the fragments and then returns the return results to the client. The device comprises an information integration module, an inverted metadata recorder and a retrieval routing control module, and supports a dynamic configuration routing strategy, a document state refreshing mechanism and performance monitoring parameters. By introducing the document state identifier, the dynamic routing algorithm and the node resource monitoring mechanism, accurate routing and efficient processing of the retrieval request are realized, so that the retrieval performance and the resource utilization rate of the system are improved.

There is disclosed a system and method of detecting security threats for an enterprise, including: filtering a first set of endpoint metadata records to identify a subset of metadata records, wherein filtering includes identifying endpoint security metadata records that are uncommon in context of the enterprise; and designating the subset of metadata records as indicating a potential security threat including designating the subset of metadata records for human analysis.

The invention relates to a blockchain-based mesenchymal stem cell safety inspection method and system, and relates to the field of data processing, core detection data and environmental parameters of stem cells are acquired for data formatting, timestamps and equipment ID metadata are embedded, a structured data object is established, and data state feature evaluation is executed; an encryption strategy is configured for encryption according to the evaluation result and the disturbance strategy, zero-knowledge proof is generated for an encrypted ciphertext and encryption parameters, the disturbance strategy and the encryption parameters serve as metadata records, and contract management is controlled through special disturbance; and uploading the encrypted ciphertext, the zero-knowledge proof and the special disturbance control contract to the block chain according to the preset block data structure to perform safety inspection management, thereby solving the technical problems that the safety inspection data of the mesenchymal stem cells are easy to tamper and lose, the processing efficiency is low, and tracing and sharing are difficult.

The invention discloses a distributed data storage and access control method based on a block chain, and relates to the technical field of data security. The method comprises the following steps: fragmenting user data, encrypting the fragmented user data by using an encryption algorithm, and storing the encrypted user data in a plurality of distributed nodes; taking the hash value and the storage position of the data fragment as metadata to be recorded in a block chain, and performing integrity verification through a smart contract; when a user accesses, user attributes are verified based on an attribute-based encryption technology, and an access control strategy is dynamically executed through an intelligent contract; and an erasure code technology is adopted to carry out redundancy storage so as to realize data recovery and fault tolerance. The method effectively solves the problems of single-point failure, privacy disclosure and inflexible access control in traditional centralized storage, has the beneficial effects of improving data security, guaranteeing integrity, realizing fine-grained dynamic access control and enhancing system reliability, and is suitable for data security management in cloud computing, Internet of Things and big data environments.

The invention provides a distributed data storage method, device and equipment and a readable storage medium, and the method comprises the steps: responding to an event created by a storage target, obtaining metadata of the storage target, and submitting the metadata to a key-value pair database in a key-value pair manner; a distributed file system is called to split the specific file into distributed storage objects, and the distributed storage objects obtained through splitting are sent to object storage equipment of a distributed storage cluster; and in response to an event of storage target change, retrieving the corresponding key value pair and modifying the metadata recorded by the corresponding key value pair according to the change condition. Through the technical scheme of the specification, the metadata is stored by the key-value pair granularity, the problem of directory-level read-write amplification is relieved, single file metadata update only needs to modify the corresponding key-value pair, overall directory rewriting is avoided, and IO consumption and network delay are reduced in combination with a write-in merging mechanism of an embedded database and the transparent object splitting capability of a distributed file system.

A smartphone-based hemoglobin (Hgb) assessment application quantitatively analyzes pallor in patient-sourced photos using image analysis algorithms to enable a noninvasive, accurate quantitative smartphone app for detecting anemia. A user takes a photo of his / her fingernail beds using the app and receives an accurate displayed Hgb level. Since fingernails do not contain melanocytes, the primary source of color of these anatomical features is blood Hgb. At the same time, quality control software minimizes the impact of common fingernail irregularities (e.g. leukonychia and camera flash reflection) on Hgb level measurement. Metadata recorded upon capturing the image is leveraged for determining a users' Hgb level thereby eliminating the need for external equipment. A personalized calibration of image data with measured Hgb levels improves the accuracy of the application.

There is disclosed a system and method of detecting security threats for an enterprise, including: filtering a first set of endpoint metadata records to identify a subset of metadata records, wherein filtering includes identifying endpoint security metadata records that are uncommon in context of the enterprise; and designating the subset of metadata records as indicating a potential security threat including designating the subset of metadata records for human analysis.

The invention relates to the technical field of aircraft manufacturing, and discloses a part model cross-BOM tracing method and system based on a global identifier and a medium, which are used for recording and tracing data formed in a process procedure planning and compiling process, and comprise the following steps: constructing part model metadata for each part model, defining a normal form of part model metadata; storing data formed in the process of programming the technological procedure into part model metadata; constructing a graph network of the part model metadata according to the logical relationship between the part model metadata; and adopting a graph traversal algorithm to trace the full life cycle process data of the part model in the graph network. According to the method, part model metadata is constructed for each part model, data formed in the process of planning and compiling the technological procedure is recorded according to the part model metadata, a graph network is established based on the part model metadata, and tracing of the whole life cycle of the data is achieved.

A method for enhancing the detection of fraudulent authentication transactions is provided that includes capturing, by an electronic device operating at least one trained large language model, data of a biometric modality of a user as part of an authentication transaction. Moreover, the method includes generating items of metadata relevant to the authentication transaction, determining the similarity between each item of metadata and corresponding record items of metadata associated with the user, and determining whether the items of metadata are within a first expected range. In response to determining the items of metadata are within the first expected range, the method determines the similarity between each item of metadata and corresponding record items of metadata associated with fraudulent authentication transactions and determines whether the items of metadata are outside a second expected range. In response to determining the items of metadata are outside the second expected range, the authentication transaction is determined to be fraudulent.

The invention relates to the technical field of chemical fertilizer production supervision, and particularly discloses a chemical fertilizer production process supervision and traceability system based on a block chain, and the system comprises a supervision module and a traceability module. The supervision module comprises a sampling inspection unit, a data recording unit, a data processing unit and a data analysis unit, the sampling inspection unit is used for sampling inspection of part of batches of finished chemical fertilizers in all batches of the day, and quality qualification indexes of the sampling inspection part of batches of finished chemical fertilizers are analyzed; and analyzing the discrete coefficient of the quality qualification index of the finished chemical fertilizer of the qualified batch, and finally combining the judgment results of the two groups of data to evaluate the quality of the finished chemical fertilizer of all batches on the current day, so that the finished chemical fertilizer of all batches does not need to be manually casually inspected, a large amount of manpower and material resources are saved, and the working efficiency is improved. And the situations of fatigue and efficiency reduction during manual processing of a large amount of data can be avoided, so that the quality detection efficiency of the finished chemical fertilizer is improved.

The present invention relates to the technical field of fertilizer production supervision, and specifically discloses a fertilizer production process supervision and traceability system based on blockchain, the system comprising: a supervision module and a traceability module; the supervision module comprises a sampling unit, a data recording unit, a data processing unit and a data analysis unit, the sampling unit is used to perform sampling on some batches of finished fertilizers among all batches of the day, by analyzing the quality qualification index of the sampled batches of finished fertilizers, and analyzing the discrete coefficient of the quality qualification index of the qualified batches of finished fertilizers, and finally combining the judgment results of the two groups of data, the quality of all batches of finished fertilizers on the day can be evaluated, there is no need to manually perform sampling on all batches of finished fertilizers, saving a lot of manpower and material resources, and can avoid the situation that manual fatigue and efficiency reduction occur when processing a large amount of data, thereby improving the efficiency of finished fertilizer quality detection.

The embodiment of the application discloses a kind of dynamic data management method, system, equipment, medium and product, comprising: receiving the creation request of dynamic structure table, corresponding metadata record is created based on the creation request;In response to receiving data write request, a data write batch identification is allocated and returned for the client, and the batch state corresponding to the data write batch identification is marked as unqueryable state;In response to receiving the data to be written sent by the client, the field information in the data to be written is identified, and the field information is compared with the initial field information, and the metadata record is updated according to the comparison result;In response to determining that the data to be written is completed after writing, the batch state is marked as queryable state;In response to data query request, based on the data write batch identification and the metadata record, retrieve and return the target data corresponding to the data query request.

This application relates to a data anomaly handling method, apparatus, and electronic device, comprising: when an anomaly is detected in a target file system, determining the execution stage of a currently executing data update operation; wherein the data update operation includes the following multiple execution stages: determining the target file corresponding to the data update operation; writing multiple metadata of the target file to a log area; writing the update steps corresponding to the data update operation to the log area; updating the data of the target file in the data area according to the update steps recorded in the log area; updating the metadata of the target file in the data area according to the metadata recorded in the log area; and updating the data in the data area and the storage status of the storage space according to at least one metadata and / or update step recorded in the log area corresponding to the execution stage. This enables timely recovery of data in the data area of ​​the target file system, ensuring the normal operation of the target file system and improving the user experience.

A method for node sensitivity analysis affecting the degradation of the communication performance of a giant constellation. The present invention relates to the field of spacecraft system simulation. It solves the problem that in the prior art, there is a lack of a method for measuring the sensitivity of the constellation to changes in the number of satellites, which brings changes in performance such as communication delay. The method includes: reading the parameter values under different two-line element data segments according to the format of the two-line element data record and saving them to the SGP4 orbit model structure variable; dividing different sub-constellations within the giant constellation according to the orbital inclination or the semi-major axis of the orbit; setting that the satellites within each orbital plane form a routing domain, setting the gateway on / off condition, setting that the satellite nodes can communicate within the domain, and restricting the connectivity of the nodes in different domains; updating the connectivity between the nodes, outputting the on / off situation and delay between the nodes; and performing routing and outputting the routing result to complete the node sensitivity analysis. It is also applicable to the field of measuring the communication delay of giant constellations.

The embodiment of the invention provides a data processing method and device. The data processing method comprises the steps of determining original metadata of an original data file in a cold storage node; constructing a metadata file corresponding to the original data file based on the original metadata, and storing the metadata file to a hot storage node; updating the original metadata contained in the metadata file based on the storage position information of the metadata file in the hot storage node; and recording access information for accessing the original data file stored in the cold storage node according to the updated original metadata stored in the hot storage node. The original metadata of the original data file in the cold storage node is separated from the cold storage node and stored in the hot storage node in the form of the metadata file, so that when the cold storage node is accessed, the metadata file in the hot storage node replaces the original data file in the cold storage node to be accessed; on the premise of ensuring the data availability, the access speed and the data query efficiency are improved.

A coin checking and sorting device is provided. The device comprises a hopper mechanism capable of handling various coin sizes in bulk, equipped with adjustable guides, sensors, and a diverting mechanism to ensure proper alignment and eject irregular coins. A dual-sided imaging scanner employs OCR and machine learning algorithms to detect coin details, anomalies, and errors, supported by advanced lighting for optimal image quality. A servo-driven sorting mechanism directs coins into separate baskets based on standard or flagged characteristics, with optional rolling capabilities for bank-ready storage. A cloud-connected database provides real-time updates and comprehensive metadata logging, including condition, rarity, and value, with anomalies cross-verified against known standards. Additional features include a weight verification system, customizable alerts, and high-resolution display options for detailed review, enabling efficient, accurate, and user-focused coin processing.

To provide a distribution management system and a distribution management method that can easily share data even between data systems that are distributed in the event of a large-scale disaster or the like.SOLUTION: In a distribution management system, a data distribution management device 1 includes a recording unit that links content data shared between a first recording medium and a second recording medium with metadata related to attributes of the content data and records the linked data on the first recording medium, and a communication device 11 having two or more communication networks 5 that communicate one or more of the content data or metadata recorded by the stage of the recording unit between the first recording medium and the second recording medium. Thus, by appropriately handling two or more communication lines, data can be easily shared even between data systems that are distributed in the event of a large-scale disaster or the like.SELECTED DRAWING: Figure 2

This invention discloses a method for processing multimodal data acquisition in intelligent manufacturing systems, relating to the field of industrial data governance technology. The method includes: acquiring multimodal data streams; segmenting raw data blocks and standardizing and encapsulating them to generate metadata records; establishing time indexes, batch indexes, and process indexes; hashing the metadata records to generate content addresses and writing them to object storage; recalculating the hash and comparing the content addresses to complete consistency verification and writing the results to a commit log table; generating operator records for successfully committed data blocks and hashing them to obtain operator addresses; registering lineage edges to form directed acyclic lineage relationships; generating leaf lists according to a preset range and aggregating them to obtain root digests; verifying content addresses object by object based on the leaf lists and root digests; replaying and recalculating to generate replay-derived data blocks; comparing them to generate audit records and storing them. This invention ensures continuous monitoring of data quality during big data acquisition through the replay and recalculation processing of directed acyclic lineage relationships.

Data structures and data storage methods for storing data in a storage system are disclosed. The methods include reading an input data file that includes metadata and raw data, generating a hash code based on an identifier associated with the input data file, generating one or more metadata records, each metadata record including the hash code and at least a portion of the metadata, generating one or more raw data records, each raw data record including the hash code and at least a portion of the raw data, storing the generated one or more metadata records into one or more metadata files, and storing the generated one or more raw data records into one or more raw data files.

The application provides a copy-based Shard non-inductive capacity expansion implementation method, and belongs to the technical field of computer storage. The method comprises the following steps: for a bucket needing to be re-sharded, a new bucket instance is created, and preparation for re-sharding capacity expansion is started; the state of the bucket is set as Resharding, indicating that the bucket in step S1 has started the Reshard operation; in the application, the user is allowed to perform the operations of deleting, uploading and modifying metadata records in the process of Shard capacity expansion, the background Shard capacity expansion is implemented without affecting the user business, and the read-write performance of the user is improved after the Shard capacity expansion is completed; in order to ensure the strong consistency of data, a full comparison needs to be performed before the Reshard is completed, so as to ensure that the data on the new Shard and the original Shard is completely consistent.

Concepts and technologies are disclosed herein for an infringement detection system that obtains images of products and images of proprietary objects, and analyzes the images to make coarse matches. An image comparison engine may transform or augment the data for comparison for coarse and refined matching. The outputs of the image comparison engine are initial infringement predictions that are further evaluated using refined matching including shape fitting. The detection system outputs refined infringement predictions, which may be optionally confirmed as counterfeit based on various considerations (e.g., known inauthentic products, suspect sales history, text and image anomalies, etc.). Upon a refined match or confirmation, the detection system records potential infringements and associated metadata into a database to initiate an optional response action. Multiple response actions are possible for transmission over a computer network to one or more receiving electronic addresses, computer servers, network system gateways or mobile / fixed devices.

The invention discloses a data backtracking method and device, equipment and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: generating metadata for a currently collected target video frame, and embedding the metadata into a preset extension region corresponding to the target video frame; the information in the preset extension area does not participate in the encoding process and the decoding process of the target video frame; obtaining a processing result obtained by processing the target video frame by using a preset intelligent algorithm, establishing an association relationship between the metadata and the processing result, and storing the association relationship in a target database; and when a data backtracking request for any video frame is obtained, reading target metadata recorded in a preset extension region corresponding to the any video frame, so as to obtain a processing result corresponding to the any video frame from the target database by using the target metadata. According to the invention, high-efficiency, safe and compliant data storage and backtracking can be realized on the premise of not destroying the quality of the original video.

To provide a vibration receiving device and its installation method capable of improving the measurement accuracy of elastic waves from the front of a working face by blasting and facilitating installation.SOLUTION: The vibration-receiving device (10) includes a geophone (11) for detecting an elastic wave (6) generated by drilling and blasting, a signal transmission member (cable (12)) for transmitting data detected by the geophone (11), a recording unit (data logger (13)) for recording the data, a protection member (14) for protecting the cable (12), and a soundproof member (15) interposed between an outer peripheral surface of the data logger (13) and an inner peripheral surface of the vibration-receiving hole (5).SELECTED DRAWING: Figure 2