429 results about "Data recovery" patented technology

The invention discloses a row-level data recovery method and device for a damaged file of a GoldenDB database, and the method comprises the following steps: S1, scanning a to-be-recovered GoldenDB data file, and recognizing and caching all data pages; s2, on the basis of metadata of the data pages, cluster index leaf node pages containing user data are screened out from the cached data pages; s3, for each screened leaf node page, analyzing an internal record organization structure of the leaf node page, and performing row-level data recovery; the row-level data recovery comprises the steps of traversing user records according to a virtual record pointer, and performing cross check and recovery on a traversal path in combination with a page directory slot so as to extract and mark the user records one by one; and S4, outputting all the recovered row-level data.

Linear unretimed interfaces lack clock and data recovery and retiming circuits implemented on a sophisticated digital signal processor. When the interface is not a retimed interface, it can be especially useful to extract some information about the link to allow for debugging and optimization of system deployment. An efficient solution can be implemented in unretimed interfaces to compute metrics such as the impulse response and signal histogram. Having the metrics allows for the solution to check and monitor the quality and the status of the link. Based on the link quality and status information, it is possible to address non-idealities and optimize performance of the unretimed interfaces and the link.

The invention provides a sensor data recovery method and system based on mask perception space-time modeling, and belongs to the technical field of Internet of Things and intelligent sensing data processing. The method comprises the following steps: modeling a missing position into a trainable potential vector representation through an adaptive missing representation module, and avoiding noise introduced by traditional zero filling or mean filling; a missing perception space-time decoding module is adopted, and a dynamic weight distribution mechanism of mask constraint is combined in the decoding process, so that information is effectively prevented from being excessively smooth; designing a space-time dual-channel feature aggregation unit, and capturing spatial dependence and time sequence dependence between the sensors at the same time; and finally realizing accurate completion of a large-scale space-time sensor matrix through an output recovery unit. According to the method, the accuracy and robustness of sensor data restoration can be remarkably improved, the reliability of subsequent monitoring, prediction and anomaly detection is enhanced, and the method has wide engineering application value.

The invention discloses a method for improving data transmission bandwidth through an FPGA. The method comprises the steps that a data packaging module of a detector main control board sends data to be transmitted to a multi-channel GTP sending end in parallel; the data acquisition card receives the data of the corresponding channels through the multi-channel GTP receiving end and recovers Data and KCOD of each channel; an FIFO read-write control module of the data acquisition card writes data recovered by multiple channels into asynchronous FIFOs corresponding to the channels through write logic, and data buffering is carried out; the FIFO read-write control module simultaneously reads cache data of a plurality of asynchronous FIFOs through read control logic to realize cross-clock domain synchronization of multi-channel data; performing CRC (cyclic redundancy check) and processing on the read multi-channel data to obtain synchronous effective transmission data; and a single-channel GTP is upgraded to a dual-channel GTP or a multi-channel GTP, so that the data transmission bandwidth is improved, and normal operation of the FPGA chip is ensured.

The embodiment of the invention discloses an application upgrading method and device, equipment, a terminal, a storage medium and a program.The method is applied to an operation system of a WebAssembly virtual machine and comprises the steps that a first upgrading instruction initiated by a to-be-upgraded application is received; the first upgrading instruction comprises application data retention indication information of the to-be-upgraded application; obtaining an old-version application corresponding to the to-be-upgraded application and an application data object of the old-version application according to application data retention indication information included in the first upgrading instruction, and storing application data in the application data object of the old-version application; receiving a second upgrading instruction initiated by the to-be-upgraded application; and recovering the application data in the application data object of the old-version application to the application data object of the new-version application corresponding to the old-version application according to the second upgrading instruction. According to the technical scheme provided by the embodiment of the invention, the application upgrading flexibility in the operation system of the WebAssembly virtual machine can be improved.

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.

A Redundant Array of Independent Disks (RAID) scheme can be used to allow recovery from a memory failure. RAID 6 can be used to recover data from up to two catastrophic failures. Typically, a hardware encoder is used to generate parities of the RAID 6 protection scheme, and a separate hardware decoder is used in the data recovery process. In an example data storage device described herein, some of the components of the hardware encoder are used to perform the data recovery process, thereby eliminating the need for a separate, additional hardware component.

The invention discloses a medical training data quality inspection method, related equipment and a program product, and relates to the technical field of artificial intelligence. When it is determined that the first reasoning result corresponding to the first problem in the medical training data contains error information, the probability distribution of the token level in the first reasoning result is predicted through a large model in the medical field. According to the method, the error reasoning model is configured, the error reasoning model is trained by adopting a problem sample in the medical field and an error reasoning result, the model simulates the token selection preference of error reasoning, and the error reasoning model performs reasoning on the first problem to obtain the probability distribution of the token level in the second reasoning result. According to the method, the two probability distribution differences of the token level can be compared, key information most possibly containing errors in the first reasoning result can be intelligently recognized, the purpose of automatically positioning potential error points in the first reasoning result is achieved, the modification direction is pointed out for data recovery work, and the data recovery work difficulty is reduced.

The invention relates to a data recovery method and device, equipment and a storage medium, and relates to the technical field of data processing.The method comprises the steps that in response to the fact that a terminal is in a first operating system boot starting state, target data in a first data partition is determined; generating a block device mapping graph of the target data, and storing the block device mapping graph to the target data partition; in response to the condition that the terminal is in a factory setting restoring state, acquiring a block device mapping graph from the target data partition by using a second operating system; reading the target data from the block device where the first data partition is located into a memory according to the block device mapping graph; and recovering the target data to the first data partition by using the second operating system. According to the method, the block device mapping graph is stored in the target data partition, so that the second operating system can reserve the target data based on the block device mapping graph, important data are reserved and recovered when factory settings of the terminal are recovered, and it is guaranteed that the data are available and not lost.

The invention relates to an Internet of Things data security sharing method for blockchain fragmentation. The method comprises the following steps: firstly, performing identity anonymous authentication based on an auditing mechanism combining encryption packaging and zero-knowledge proof; thirdly, performing threshold slicing on the to-be-stored data by adopting an IDA slicing algorithm, performing dynamic allocation of storage nodes based on weighted consistency hash, and performing data storage and distribution based on the allocated storage nodes; afterwards, a PBFT consensus mechanism based on behavior reputation is adopted to carry out security auditing of data recovery and storage, a recovery voucher is generated, and on-chip data recovery is carried out; and finally, querying a target fragment of data distribution based on a trusted relay cross-fragment transaction mechanism, and completing cross-fragment data recovery in the target fragment. According to the invention, high efficiency and security of IoT data sharing and terminal identity privacy protection can be realized, and application requirements in a large-scale IoT environment are well met.

An example method of performing data recovery after a die failure in a memory device includes: identifying, among a plurality of dies of the memory device, a first die experiencing a failure; identifying, by iterating over an address space associated with the first die, a valid data item stored on the first die; responsive to determining that a data recovery workload condition is satisfied, recovering the valid data item; and storing the valid data item on a second die of the plurality of dies.

The invention relates to a cache data recovery method and device, equipment, a storage medium and a program product. The method comprises the steps that firstly, under the condition that a first process is detected to be restarted, a memory space is applied to a second process, cache data stored in the first process is stored in the memory space, then under the condition that the first process is detected to be restarted, a memory head structure address of the memory space is obtained through the second process, and finally, the memory head structure address of the memory space is obtained through the second process. And storing the cache data into a memory space of the first process according to the memory head structure address. By adopting the method, when the first process needs to be restarted, the cache data of the first process can be stored in the memory space of the second process, and after the first process is restarted, the cache data before the first process is restarted can be quickly recovered based on the cache data stored in the second process, so that the restarting efficiency of the first process is improved. The problem that cache data is lost when the first process is restarted is solved.

A processing unit includes a redundant remainder generation circuit that converts first operand data and second operand data into a plurality of first operand redundant remainder sets and a plurality of second operand redundant remainder sets based on a redundant remainder system (RRNS) using first to Tth moduli. T is a natural number equal to or greater than 4. The processing unit includes a plurality of arithmetic circuits that perform operations using the plurality of first operand redundant remainder sets and the plurality of second operand redundant remainder sets, and a reconstruction circuit that restores the RRNS-based result data to the weighted coefficient-based result data. An in-memory processing (PIM) apparatus and an in-memory processing (PIM) system are also provided.

The invention relates to the technical field of data retrieval, in particular to a meat detection data management system and method, and the system comprises a data model dynamic adjustment module, a data relation mapping module, a database architecture evolution module, a data merging optimization module, a history tracking and analysis module, a data integrity recovery module and a system performance optimization module. According to the method, the decision tree algorithm and the Bayesian network play a key role in dynamic adjustment of the data model, the optimal data model structure is effectively recognized, the graph database technology and the PageRank algorithm are used for constructing and optimizing the data relation network graph in data relation mapping, the effectiveness of the data storage structure is enhanced, and the data storage efficiency is improved. The clustering analysis method and the K-means algorithm improve the efficiency of data processing, the data recovery algorithm and the transaction log analysis technology ensure the accuracy and integrity of data in data integrity recovery, and the overall performance and stability of the system are remarkably improved through reasonable resource allocation and load balancing of the system monitoring and tuning strategy.

1. The name of the design product: unmanned aerial vehicle data collection box. 2. The use of the design product: data recovery and collection for field cameras or environmental protection equipment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of distributed storage, and discloses an error correction storage method and system based on polynomial interpolation mixed verification. According to the method, on the basis of performing block storage on original data, a unified polynomial representation relationship is constructed based on a quantitative relationship between data blocks and a generation relationship of verification data, and a state quantity used for representing the data recovery supporting capacity is formed through calculation according to the unified polynomial representation relationship. And judging the value interval of the state quantity, distinguishing different data failure processing modes, and selecting a corresponding data recovery strategy in the corresponding mode to execute recovery operation. According to the method, the recovery process after data failure has a clear processing basis and a stable execution path, and the uncertainty of data recovery to the system resource occupation state can be reduced in a distributed storage environment in which the node scale, the fault mode and the operation load change continuously, so that the long-term stable operation of the system can be maintained.

This invention discloses a method, device, and storage medium for secure data backup and migration of storage devices, relating to the field of data backup technology. The method includes the following steps: dividing file data in the storage device using a file data partitioning method to obtain a set of file data blocks; obtaining feature parameters of all file data blocks in the set and obtaining feature vectors for each file data block, denoted as file data block feature information; constructing a data block filtering feature vector and building a document feature filtering table based on the file data block feature information, and performing an initial backup; and performing a second backup based on the file data partitioning method and the document feature filtering table. This invention addresses the problem that existing data backup technologies, when performing incremental backups of file data, cannot simultaneously guarantee backup efficiency and data reliability while avoiding the need to restore each backup individually during data recovery.

A computer data storage device connected to a host computer through a host interface is disclosed. The computer data storage device contains a storage unit which stores data and includes a user area and a security area; a user input / output unit which receives an input relating to an operation mode of the computer data storage device, that is, a normal mode and a management mode, and related information from a user and displays same; and a control unit which communicates with the host computer and is connected to the storage unit and the user input / output device so as to control the operation mode. The control unit is configured to, when the host computer is to change structure information of the user area, generate recovery information for preserving data stored in the user area and store same in the security area.

The present application discloses a load-balanced collaborative repair method and device for coded data, and relates to the technical field of data storage and recovery. The method include performing encoded collaborative repair on data of a damaged disk using a collaborative repair algorithm BROR according to characteristics of the damaged disk and data characteristics of intact disks; and calculating locations of data required to be transmitted by each disk using a load balancing algorithm BROR-LB based on encoded collaborative repair results, implementing data balance among nodes, and completing load-balanced collaborative repair of coded data. The present application solves problems of low data recovery efficiency and unbalanced system load in large-scale storage systems.

The invention discloses a storage device and a starting method thereof. The starting method of the storage device comprises the following steps: in response to starting of the storage device, acquiring record data of each storage block of the storage device; determining a startup state of each storage block of the storage device based on the recorded data; and performing data recovery on each storage block based on the starting state of each storage block so as to complete starting. According to the scheme, the starting complexity and time consumption of the storage device can be reduced, and the starting efficiency is improved.

The invention discloses an automobile data recorder video recovery and recombination method and device, and relates to the technical field of video data recovery, and the method comprises the steps: extracting a reference file to obtain a packaging format, a coding format and a corresponding video feature parameter set; scanning the damaged automobile data recorder, and extracting a decoding parameter set of a to-be-repaired video and a frame set of the to-be-repaired video from the scanned content based on the packaging format and the coding format of the reference file; decoding the video frames in the frame set and identifying burning timestamp information through OCR (Optical Character Recognition) in sequence to obtain an ascending-sequence video frame set; performing parameter updating on the video characteristic parameter set by using the decoding parameter set of the to-be-repaired video to obtain an updated video characteristic parameter set; and based on the updated video characteristic parameter set, repackaging the ascending-order video frame set to generate a video file. According to the method, the frame reordering driven by the OCR timestamp is utilized, so that the problems of discontinuous restored video playing pictures and out-of-order time are effectively solved.

The invention discloses an SAR intermittent sampling forwarding interference suppression method and system based on pulse compression and time-frequency analysis, and a storage medium, and the method comprises the following steps: carrying out the range pulse compression of SAR echoes containing interference pulse by pulse, so as to accurately obtain an interference-containing pulse sequence; and then, carrying out short-time Fourier transform on the pulse with interference after pulse compression and the nearest pulse without interference, and carrying out superposition and differential operation of two different dimensions to realize time-frequency domain positioning of the 2D-ISRJ. And designing a time-frequency domain filter, and carrying out time-frequency domain wave trapping on the positioned 2D-ISRJ. And finally, recovering the missing part of the signal after wave trapping by using the time-frequency data containing the interference pulse and the nearest non-interference pulse after pulse compression. According to the invention, the interference detection precision of typical two-dimensional intermittent sampling forwarding interference forwarding types can be relatively high under the condition of relatively weak interference, and the suppression method not only can achieve a relatively good suppression effect, but also can better protect useful signals.

1. The name of the design product: data recovery graphical user interface for computer. 2. The use of the design product: for running programs. 3. The design points of the design product: the content displayed by the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The computer is a conventional design, omitting rear view, left view, right view, top view, bottom view. 6. The use of the graphical user interface: performing server data recovery operations. 7. The change state description of the graphical user interface: the front view includes the title bar, the side bar and the main page content, clicking the "data recovery" module in the front view enters the interface change state diagram 1; clicking the "search" button in the interface change state diagram 1 enters the interface change state diagram 2; selecting the row of data to be recovered in the right list of the interface change state diagram 2 and clicking the "start recovery" button pops up a prompt box and enters the interface change state diagram 3; clicking the "yes" button of the prompt box in the interface change state diagram 3 enters the interface change state diagram 4; automatically performing the data recovery task and displaying the recovery status in real time until the recovery is completed and enters the interface change state diagram 5.

An example includes a method for decoding a shaped codeword that includes shaped data and the shaped parity bits. The shaped codeword has been encoded via an identity matrix comprising an array of layers and block columns of parity data. The method also includes recovering parity data from the shaped parity data of the shaped codeword via the controller. Recovering the parity data includes comparing a syndrome weight of each of a plurality of block columns of the shaped parity data with a threshold and flipping bits of each of the block columns of the shaped parity data in response to the syndrome weight of the respective one of the block columns being greater than the threshold to recover parity data from the shaped parity data of the shaped codeword. The method further includes decoding the shaped data based on the recovered parity data via the controller.

A data recovery method for a futures counter comprises the steps that S01, in the transaction process of the counter, the counter stores private flow data of an exchange into a local data file, and the data are verified when the data are stored; and S02, when the counter is restarted, the local data file is mapped to the memory firstly, and the counter recovers the private stream data from the memory firstly and verifies the data at the same time. And S03, after the local file data is recovered, subscribing to the remaining new private stream data collected from the exchange through the specified serial number. And S04, after the counter receives all the old flow of the current trading day, the counter recovers funds and finishes the position, and the state is switched to be normal. According to the method, the private stream data is stored in the local file in real time during transaction, the local file data is preferentially passed during recovery, and then a subsequent new private stream is received from the exchange in a continuous transmission mode, so that the integrity and reliability of data recovery are ensured, and the high efficiency of data recovery is also ensured.

A system includes a crystal oscillator, a central switch transceiver coupled to the crystal oscillator, and a sensor transceiver. The central switch transceiver includes transmitter circuitry to generate a self- clocked signal carrying first data using a timing reference from the crystal oscillator, and clock and data recovery loop circuitry to operate at a first bandwidth to sample second data received from the sensor transceiver. The sensor transceiver includes reference clock recovery circuitry to decode a reference clock from the self- clocked signal. A phase-locked loop (PLL) circuit generates a transmission clock operating at a second bandwidth from the reference clock for generating the second data. The first bandwidth is greater than or equal to the second bandwidth of the PLL circuit to mitigate jitter experienced by the clock and data recovery loop circuitry due to jitter in the transmission clock.

Data recovery in a virtual storage system includes detecting a data loss within a data set within storage provided by a first storage tier of the virtual storage system, wherein recovery data for the data set is stored in a second storage tier, determining a recovery point for the data set from which a consistent version of the data set is recoverable from the recovery data stored in the second storage tier up to the recovery point, and recovering the consistent version of the data set within the storage provided by the first storage tier of the virtual storage system.

The embodiment of the invention provides a solid state disk firmware damaged data recovery method and system. The method comprises the steps of performing information identification on a to-be-recovered solid state disk; if the hard disk information meeting the preset condition is not recognized, the hard disk is controlled to enter a preset safety mode; in a preset security mode, identifying a master control type and NAND particle information; based on the identified master control type and NAND particle information, selecting a matched target microcode from a preset firmware library; based on the target microcode, information identification is carried out again; if the hard disk information meeting the preset condition is recognized, configuring parameter information of the to-be-recovered solid state disk according to the hard disk information; and performing file system data recovery based on the NAND particle information and the parameter information. According to the method, the data recovery efficiency and the data integrity are improved.

The invention discloses a data recovery method and device, equipment, a medium and a product, and relates to the technical field of data processing, and the method comprises the steps: obtaining at least one recovery request message sent by a consumer and / or a multicast network; analyzing the recovery request message to obtain a consumer port identifier, a request type and a difference data packet sequence corresponding to the consumer port identifier; performing de-duplication processing on the difference data packet sequence based on the consumer port identifier and the request type to obtain at least one recovery data packet sequence and a sending identifier corresponding to the recovery data packet sequence; and sending the recovery data packet to the consumer and / or the multicast network based on the sending identifier and the consumer port identifier. By adopting the technical scheme, the recovery request message is subjected to deduplication and merging processing, so that repeated uploading of the recovery request is effectively filtered, the resource occupancy is reduced, and the problems of repeated transmission of the recovery request and repeated issuing of the recovery data are solved.

This invention discloses a power-loss protection method for the FATFS file system, which is applied to an embedded file storage system using non-volatile memory as the storage medium. The power-loss protection is achieved solely through computer programming technology, and includes the following steps: S1, allocating a region in the file storage medium as a backup area for file write operations; S2, when the file system performs a write operation on any sector in the storage medium, before executing the erase operation on that sector, reading the data of that sector and saving it to the backup area; S3, calculating the CRC checksum, saving the CRC checksum and the sector number of the sector together to the backup area, making the data in the backup area valid; S4, executing the erase operation on the sector to complete the data writing; S5, after completing the writing of the data in that sector, invalidating the data in the backup area; S6, when the embedded file system is powered on again, checking whether the data in the backup area is valid, and if valid, restoring the sector data saved in the backup area and writing it back to the corresponding sector.