77 results about "Data Corruption" patented technology

Techniques are described for maintaining data consistency when failure events occur during file storage replications between file systems in different cloud infrastructure regions. In certain embodiments, two generation numbers (or different identifications) are assigned to two groups of processed B-tree key-value pairs, one before and one after a failure event, within a key range. In some embodiments, the two generation numbers are assigned to a group of B-tree key-value pairs processed by a failed thread and another group of B-tree key-value pairs processed by a substitute thread taking over the failed thread to avoid potential data corruption.

A method for receiving and verifying data, comprising the steps implemented by a receiver unit: receiving (302) a data set having at least one data element; receiving (304) a first integrity feature characterizing the number of data elements thereof and a second integrity feature characterizing the size thereof of the transmitted data set; determining (306) a number of data elements; determining (308, 310) the number of reception parity and a transmission parity of the first integrity feature and comparing (312); if both correspond, comparing (314) the number of data elements of the received and transmitted data sets; if both correspond, comparing (316) the sizes of the received and transmitted data sets; if both correspond, confirming (318) data integrity of the received data set; if one of the comparisons is different, data corruption of the received data set is confirmed (320).

The present invention provides a memory drive device, an information processing device, and a control method that reduce data corruption due to retention characteristics and improve reliability. [Solution] The SSD (Solid State Drive) in the information processing device 100 comprises a data storage unit including a data storage area and a test storage area, and a control unit. The data storage area is composed of rewritable non-volatile memory and stores data used for information processing. The test storage area is composed of non-volatile memory and stores predetermined test data. The control unit determines that a predetermined data retention period has been reached if the date and time information obtained from the information processing device is accurate and the power outage period based on the date and time information exceeds a threshold period. If the date and time information is inaccurate, the control unit determines that a predetermined data retention period has been reached based on an index value related to storage failures in the test storage area and performs a rewrite of the already stored data to the data storage area.

According to the invention, position information subject to data corruption is processed without the need for additional signals, for example by using an extended Kalman filter. This can be used in a motor vehicle (1).

The invention belongs to the technical field of programmable gate arrays, and discloses an FPGA module upgrading method and device. According to the method, the upgrading instruction sent by the upper computer is verified, illegal instructions can be intercepted, and upgrading starting safety is guaranteed; the second storage area is firstly erased and then the upgrade data is stored, and subsequent upgrade data verification is matched, so that new and old data confusion and data damage can be avoided, and the storage accuracy of the upgrade data in the second storage area is ensured; after restarting, the FPGA module can be efficiently switched to the second storage area to load and execute upgrading data by means of a program jump instruction of the first storage area, upgrading of the FPGA module is achieved, upgrading stability is guaranteed by means of division of labor of the first storage area and the second storage area, the problems that an existing upgrading mode is poor in remote performance and low in reliability are effectively solved, and the upgrading efficiency is improved. And the requirement of a service system on reliable online upgrading of the FPGA module is met.

A system can have a storage array consisting of one or more array member drives. The storage array can be partitioned into stripes of data across the one or more array member drives. During operation, a DMA controller can move source data from processor memory and write the data to accelerator memory. The accelerator can perform a parity calculation, and a DMA controller can write the parity result and the source data to at least one of the array member drives. The parity information can be used to reconstruct the data in one or more array member drives in the event of corruption or data loss.

One example method includes receiving a Quadratic Unconstrained Binary Optimization (QUBO) problem that comprises a matrix that includes various cells having data. It is then determined that one or more of cells is missing data or has corrupted data. A machine learning (ML) model performs a denoising process that removes random noise from the one or more cells having the missing data or corrupted data. This results in data being imputed to the one or more cells having the missing data or the corrupted data. The imputed data approximates the missing data or approximates an expected value of the corrupted data before the corrupted data was corrupted.

The invention discloses a memory, a memory system and an operation method of the memory, and belongs to the technical field of storage. The method comprises the following steps: receiving an erasure command which indicates to erase data stored in a storage block in a memory, reading a numerical value stored in a register, and if it is determined that configuration data of the memory is stored in the storage block based on the numerical value stored in the register, stopping executing the erasure command. According to the method and the device, whether the erasure command aims at the configuration data or not is judged according to the value stored in the determination, and the erasure command is stopped under the condition that the erasure command aims at the configuration data, so that the potential data loss risk caused by the erasure command is avoided, and the user experience is improved. And the system failure rate caused by data damage or loss can be reduced, so that the reliability and the stability of the memory can be remarkably improved.

The invention relates to a medical information transmission method and system, a medium and a computer, and the key points of the technical scheme are as follows: firstly, the permission range of data access is determined according to an account logged in a terminal device, so that personal information leakage caused by excessive access of data can be avoided; and the data is kept in an encrypted state in the transmission process, so that the personal information of the patient can be prevented from being leaked even if the data is intercepted. And the received data is verified on the terminal equipment of the doctor, so that the accuracy of the data can be improved, and the data is prevented from being damaged to affect illness state diagnosis.

This invention provides a data recovery method, apparatus, storage medium, and electronic device. The method includes: upon detecting data corruption in a first node of a target storage cluster, locating a target node in the target storage cluster associated with a target switch; if a target node exists in the target storage cluster, locating a second data block based on a first data block, and performing a data recovery operation based on the second data block to generate a third data block, wherein the third data block is considered to be a data block generated after recovering the first data block; and storing the third data block to the target node. This invention solves the technical problem of low data recovery efficiency due to complex business processes in related technologies.

The invention relates to a parameter power-off recovery method, system and device for a sleep respirator and a medium, and the method comprises the steps: identifying whether the sleep respirator has abnormal power-off or not through status bit verification, and introducing a timestamp comparison logic of large-capacity SD card backup and EEPROM storage and a multi-verification mechanism cooperative judgment strategy. The latest and complete treatment parameter data can be accurately selected when the equipment is electrified and initialized each time, so that the parameter recovery reliability of the sleep breathing machine in an abnormal power failure or data damage scene is effectively improved, the data loss risk caused by a fault of a single storage medium is avoided, and the system stability and the treatment continuity are remarkably enhanced; especially in medical equipment running for a long time, data consistency and recovery accuracy are crucial.

As various systems evolve towards autonomous self-evolution, self-optimization capability has become a crucial characteristic of modern systems. Systems need to be able to propose improvement suggestions and automatically modify their own code or configuration based on operational data, user feedback, or external instructions. However, existing technologies suffer from deficiencies such as a lack of secure testing mechanisms, data corruption during testing, a stateless branching concept, a lack of conflict handling mechanisms, and insufficient rollback capabilities. This application provides a secure testing method, system, and computer-readable storage medium for system self-optimization, aiming to enable the target system to test improvement suggestions in an isolated environment, independently store state changes generated during testing, intelligently merge them into the main system after successful testing, safely discard them upon test failure, and support precise rollback, ensuring the system maintains stability and data integrity while autonomously evolving.

The invention relates to data corruption tracking for memory reliability. Techniques related to improving memory reliability, for example, in the context of memory circuits with limited reliability features, are disclosed. In some embodiments, memory controller circuitry is configured to communicate via an interface with memory circuitry that supports link error detection. The memory controller circuitry may transmit a combination of data and parity for the first data block based on the corruption indicator, the combination of data and parity causing the memory circuitry to detect an uncorrectable write interface error. Subsequent reading of the location may thus cause an uncorrectable error indication. In some embodiments, this may advantageously allow the memory controller circuitry to propagate a corruption indicator in the memory circuitry as an uncorrectable error without the need to additionally track the indicator by the memory circuitry or memory controller.

This invention discloses a method for writing EEPROM data in a non-preemptive real-time operating system. It enables EEPROM write operations without interrupting the operating system's timing. A state machine is introduced into the implementation, dividing the operation steps into five different states for easy statistical analysis and differentiation. A mutex lock is also introduced during the write process to prevent the EEPROM from accepting other write requests while it is being written, thus preventing data corruption and improving system security. This invention provides an EEPROM data writing method adapted to a non-preemptive real-time operating system, ensuring the continuity of the operating system's timing during EEPROM data writing and effectively avoiding unpredictable fatal failures caused by operating system task timeouts. It has promising application prospects.

This invention discloses a method and system for intelligent management and control of the entire process of industrial futures contracts, relating to the field of contract management technology in industrial production. This invention achieves unique futures contract numbers, anti-duplicate data entry, standardized operations, and consistent data through five core methods: intelligent product-dimensional number generation, product feature hash value anti-duplicate measures, integrated management throughout the entire lifecycle, special anti-misoperation measures for sub-contracts, and automatic completion of ancillary information. This method solves the pain points of traditional futures contract management, such as disordered numbering, duplicate entries, accidental deletion, and data corruption, improving the efficiency and accuracy of futures contract management. It is compatible with the integrated operation requirements of ERP / MES systems and suitable for the refined management scenarios of futures contracts in industrial enterprises. This invention has been fully implemented in a real industrial ERP system and can operate stably in a real production environment for a long time, possessing mature engineering value and industrial promotion capabilities.

The application discloses an anti-data-damage heterogeneous federated learning system and method, which first adopts a robust data enhancement strategy in the local update stage, minimizes the adverse effects of local damage by performing multiple random data enhancement operations, and enables the model to learn rich local knowledge. Secondly, a robust reweighting communication method is designed in the collaborative update stage, which realizes communication between heterogeneous models while reducing the damaged knowledge obtained from other models. Finally, for the damaged feedback of unreliable clients, the application minimizes the learning of damaged knowledge by dynamically adjusting the contribution of the clients. The application achieves this goal by using a public data enhancement strategy that dynamically adjusts the contribution of the clients according to their ability to cope with data damage. The application can significantly improve the robustness to various data damage, thereby improving the performance of model heterogeneous federated learning.

The invention provides an off-line file automatic encryption synchronization method and system, and the method comprises the steps: intercepting an I / O request through a kernel mode file filter driver, and initializing monitoring when a write release event is captured; performing stability judgment based on a sliding window on the monitored object, calculating a discrete difference fluctuation ratio, and confirming that writing is complete after convergence; calculating the local information entropy of the file to generate a weighted feature sensing fingerprint, and performing duplicate removal through Hamming distance comparison; generating a dynamic key based on the system epoch time to perform streaming encryption; only uploading the missing ciphertext data block according to a missing bitmap fed back by the server; and the server side decrypts the restored file and generates a chained hash log for solidification storage. According to the method, the file writing state can be accurately judged, data damage is prevented, and efficient duplicate removal, incremental transmission and whole-process credible traceability are achieved.

This invention discloses a timestamp transmission method, apparatus, electronic device, and storage medium. It involves real-time acquisition of a target image frame and corresponding timestamp description information to be embedded; capturing timestamps using a timestamp capture unit based on the timestamp description information; embedding the captured target timestamps using a preset timestamp embedding method to obtain a target timestamp transmission image frame; and transmitting the target timestamp transmission image frame to an image output module to achieve transmission to a terminal receiving device via the image output module. This invention solves the problems of poor readability and image data corruption caused by embedding the least significant bit of image data into the valid data in existing technologies, improves the accuracy of image frame timestamp transmission, enhances the readability of the received timestamps on the terminal receiving device, and ensures the quality of image data transmission.

This invention relates to the field of data storage, and discloses a data repair method, device, and medium for an embedded storage system. In this invention, the storage space of the embedded storage system includes multiple logical blocks and reference check values ​​corresponding to the multiple logical blocks. The method includes: determining the target logical block to be checked, and calculating the current check value of the data within the target logical block; comparing the current check value with the reference check value corresponding to the target logical block; if the current check value and the reference check value do not match, obtaining the corresponding backup data segment according to the logical block index of the target logical block, and overwriting the backup data segment into the target logical block. This addresses the problems of low efficiency in locating data corruption and the need for manual intervention or system restart during the repair process, which affects the continuous availability of the device in related technologies.

The application discloses a data storage method and device of a memory, a memory and a storage medium, and belongs to the technical field of memories. The memory comprises a first storage area and a second storage area, a first working temperature range of the first storage area is greater than a second working temperature range of the second storage area; a temperature value of the memory at a first time is acquired; in a case where it is determined that the memory triggers a preset transfer condition and the temperature value is not within the second working temperature range, writing data into the second storage area is prohibited; in a case where it is determined that the memory triggers the preset transfer condition and the temperature value is within the second working temperature range, the first storage area temporarily stores to-be-written data is transferred to the second storage area; and the risk of data damage caused by the temperature of the target memory when data is written into the target memory can be reduced.

Quantum Entanglement Model-Matrix Analysis systems / processes are designed to detect and mitigate accuracy downgrades in Explainable AI (XAI) systems. Using quantum entanglement principles, it monitors relationships within data matrices during AI computations, identifying anomalies and deviations caused by poisoned data or cyberattacks. The system includes hash-key tracking that verifies the integrity of both the final output and the computational steps leading to it, ensuring any manipulation of formulas or macros is detected. A traceability matrix tracks the origin of data, enhancing transparency and accountability. The system's continuous scanning feature detects anomalies in real time, while swarm intelligence-based task distribution allows decentralized auditing of data integrity. Additionally, the system includes a self-healing capability to correct detected anomalies, ensuring consistent reliability of AI outputs. This invention offers a robust solution for maintaining the accuracy and security of AI computations in complex environments, protecting against data corruption and computational manipulation.

This application relates to the field of computer technology, providing a method and computing device for recovering corrupted metadata. The method includes: detecting the activity status of a container runtime; when the activity status is inactive, creating a temporary test file in the working directory of the container runtime; if the temporary test file is successfully created, reading the runtime log of the container runtime; if the runtime log contains any preset keyword, determining that the metadata of the container runtime is corrupted, and updating the corruption detection count of the container runtime; when the corruption detection count is greater than or equal to a detection threshold, restoring the metadata file of the container runtime. Based on this solution, a host device equipped with a container orchestration platform can periodically detect and identify whether a fault involves the metadata file of the container runtime, achieving accurate identification and controllable repair of corrupted metadata, and improving the response speed for handling corrupted metadata files.

This application discloses an access request processing method and electronic device under centralized storage, relating to the field of centralized storage technology. The method includes: setting up a virtual file system in nodes and using the virtual file system to synchronize cache mirrors between nodes. When any node receives an access request, it first determines whether the request is a read or write request, and then uses the cache mirror to process the request. This solves the problems of data corruption due to the lack of memory consistency protection when using a local file system to provide read / write services to multiple nodes, and the reliance on a single node for protocol processing. This method introduces a virtual file system into the nodes, enabling nodes to mount the same volume and use the virtual file system for inter-node cache synchronization, thus achieving unified cache mirroring between nodes. Through inter-node cache mirroring, the ability for multiple nodes to provide services to the outside world is realized.

Disclosed in the present disclosure are a file access management method and apparatus, and a device, a storage medium and a program product. The method comprises: during a process in which a pre-configured management program is run to acquire a file access request, if a file access request is acquired, determining whether a process corresponding to the file access request is running in a target container, wherein the target container comprises a container that has no permission to access a file system of a host machine; when the process is running in the target container, determining whether a target file accessed by the file access request is stored in the file system of the host machine where the target container is located; and if the target file is stored in the file system of the host machine, by means of the management program, sending termination information to the process corresponding to the file access request, so as to terminate the process. The present disclosure realizes the effective management of file access behaviors, thereby avoiding risks such as data loss and data corruption caused by malicious access by processes to a file system of a host machine.

The invention provides a large visual language model and method for processing incomplete multi-modal data, which is applied to the technical field of computer visual processing, and comprises a cross-modal reasoning and complementing module for receiving modal data containing N visual modalities and modal existence states thereof, generating complementing features of missing modalities, and obtaining the modal data and the modal existence states of the modal data and the complementing features of the missing modalities; outputting a multi-mode feature set subjected to preliminary completion; the incomplete multi-modal fusion module is used for encoding the preliminarily complemented multi-modal feature set to a joint probability distribution space and generating shared visual representation through sampling; the visual language interaction module is used for fusing and understanding the shared visual representation and an input natural language instruction and generating a text answer about a multi-modal scene; according to the method, incomplete multi-modal data can be effectively fused, the visual representation capability of the model under the condition that sensor data is damaged or missing is enhanced, and remarkable performance improvement and generalization capability are shown in multiple outdoor scene understanding tasks.

The application discloses a data checking method and device, equipment and medium, and relates to the technical field of distributed storage. The data checking method is applied to a distributed storage system and includes the following steps: obtaining original data written into a disk through a write operation, and encoding the original data based on LDPC to obtain encoded data; generating at least one checking copy and a plurality of normal copies according to the encoded data; when it is determined that the encoded data in the plurality of normal copies is damaged through a read operation, performing LDPC decoding on the checking copy by calling the read operation to obtain the original data, and repairing the encoded data in the plurality of normal copies according to the original data. Since the LDPC decoding is introduced, when there is only one checking copy, the damaged original data can be restored through the checking copy, and thus, the error data can be restored in the case that the number of normal copies is small and the normal copies are damaged.

The utility model provides a database monitoring and alarming device, which comprises a fixed part arranged at the top of a host, and at least two diagonal corners of the fixed part are connected with a stable part through a supporting part; a balancing weight is arranged on the supporting part of the fixing part, and when the vibration of the main engine exceeds a threshold value, the balancing weight slides down along the supporting part and is embedded into the stabilizing part to achieve damping; according to the utility model, the vibration condition of the device can be effectively detected, the situation that the data transmission stability is influenced due to the loosening or poor contact of the plugging port caused by vibration is avoided, and meanwhile, the mechanical and intelligent alarm system is used for dual reminding, so that the maintenance personnel can be effectively reminded, and the maintenance efficiency is improved. Maintenance personnel can repair the database in time conveniently, and the frequency of faults such as data damage or shutdown caused by the fact that the database cannot be damped in time is reduced.

This invention relates to the field of data management technology, specifically to a multi-machine, multi-process synchronous data management system and method based on block tasks. It includes a technical support unit, a multi-process synchronization unit, a data synchronization unit, and a data management unit. The technical support unit supports system connection and operation; the multi-process synchronization unit manages the synchronization of multiple concurrent processes; the data synchronization unit implements data synchronization within the system; and the data management unit manages the synchronized data. The system designed in this invention can improve system parallel efficiency, quickly achieve massive data synchronization, and then process and provide the data for user access and application. Its method can reduce the workload of data transmission, lower the probability of data loss, improve data synchronization efficiency, reduce user workload, lower the probability of data corruption, ensure business operation progress, effectively improve resource utilization, and increase system throughput.

The invention discloses a data transmission processing method, and the method comprises the steps: a privacy region of a transmitting end generates to-be-transmitted plaintext data, and transmits the plaintext data and a type identifier thereof to an isolation region; the isolation area performs hash operation on the plaintext data to obtain a hash value, then expands and encrypts the plaintext data according to a type identifier of the plaintext data to obtain ciphertext data, generates a first ciphertext data packet from the type identifier, the ciphertext data, an index of a key used for encryption and parameters of the hash value, and performs secondary encryption to obtain a first transmission data packet; and forwarding the first transmission data packet to the communication area. According to the method, verification is carried out immediately after decryption operation, and data damage caused by non-malicious tampering can be found actively and timely; in this way, it is ensured that the decrypted and restored data are completely consistent with the original data before encryption, wrong or invalid data are prevented from being delivered to subsequent applications or users, and therefore the correctness of service logic processing and the reliability of results are guaranteed.

A method, computer program product, and computing system for defining one or more encoded symbols for data included within each of a plurality of memory dies of a memory module to define one or more groups of encoded symbols; generating Reed-Solomon parities for each group of encoded symbols; and recovering one or more portions of the data included within each of the plurality of memory dies of the memory module in the event of data corruption or die failure using one or more of the encoded symbols and the Reed-Solomon parities.