441 results about "Data retention" patented technology

The embodiment of the invention discloses an in-memory computing circuit based on a magnetic cache, and the circuit comprises at least one magnetic cache unit, at least one in-memory computing unit, and a timer. The magnetic cache unit in the at least one magnetic cache unit is used for caching data output by the corresponding in-memory computing unit as to-be-processed data within the corresponding data retention time; the timer is used for respectively setting data retention time for the at least one magnetic cache unit; and the in-memory computing unit in the at least one in-memory computing unit is used for extracting the data to be processed from the corresponding magnetic cache unit for calculation and outputting the computed data to other magnetic cache units. According to the embodiment of the invention, the invention achieves the flexible adjustment of the data retention time of the magnetic cache unit in various in-memory calculation scenes, and achieves the provision of a high-capacity cache for the data needed by in-memory computing under the lower power consumption.

The invention provides a method and system for optimizing reading reference voltage of a three-dimensional NAND flash memory, and relates to the technical field of semiconductor memorizes.The method comprises the steps that the erasing frequency and the data retention time of the three-dimensional NAND flash memory are obtained; if the data retention time is not clear, inversely deducing the time through a sampling adjustment method, inputting the inversely deduced data retention time and erasing times into an optimal read reference voltage prediction model, and outputting an average optimal offset value of each read reference voltage; if so, substituting the two parameters into an optimal read reference voltage prediction model to output an average optimal offset value of each read reference voltage; and finally, compensating the average optimal offset value of each read reference voltage by using the interlayer difference table, and outputting all optimal read reference voltages of each layer. According to the method and the device, the accuracy of reading reference voltage optimization strategy prediction can be improved, the time overhead is reduced, and the reading performance is improved.

The invention discloses a security storage chip energy consumption optimization method based on multi-objective optimization, and relates to the technical field of energy consumption optimization, and the method comprises the steps: inputting the threshold voltage distribution characteristics of a security storage chip of a candidate parameter set into an aging model, fitting the rule of the threshold voltage distribution characteristics along with the time under an accelerated aging condition, and obtaining an aging model; aging model parameters are obtained; calculating the data retention failure rate of the security storage chip in the target life cycle by using the aging model parameters, and obtaining an extended feasible region of the instant erasure security constraint and the long-term retention security constraint in combination with a data retention judgment standard; and establishing a multi-objective optimization function with reduction of operation energy consumption and maintenance energy consumption as optimization objectives in the extended feasible region, and obtaining a candidate solution set through a multi-objective optimization algorithm. According to the method, data retention prediction in the life cycle is realized, and energy consumption optimization and long-term reliability constraint are combined.

A data storage device tracks information about the ages and read counts of blocks of memory, which are indicative of data retention and read disturb issues, respectively. The data storage device uses a machine-learning model to predict which blocks in the memory are likely to contain errors based on the tracked information, and a read scrub operation is performed only on those blocks. Limiting the number of blocks that are read scrubbed reduces read amplification and reduces the time required for the read scrub process.

The invention belongs to the technical field of aerospace, and discloses an aviation electrical system insulation detection device which comprises a shell and an overall frame serving as the insulation detection device. The display screen is used for displaying measurement data in real time; the function key group integrates the functions of measurement mode switching, data retention and insulation test starting; according to the conversion assembly, through the linkage design of the rotating disc and the rotating switch, the problem that functions cannot be switched when the two hands of a traditional insulation detection device are occupied is thoroughly solved, a worker only needs to rotate the rotating disc with the hand of supporting equipment, the rotating switch can be driven through the driving mechanism, switching of insulation test voltage gears is completed with one hand, and the working efficiency is improved. Compared with a traditional device which needs to frequently put down a connecting line and manually rotate a switch, the design simplifies the operation steps from three steps to one step, shortens the single function switching time, and remarkably improves the efficiency and safety of high-altitude operation or narrow space detection.

The invention relates to the technical field of unmanned aerial vehicle autonomous control or cloud-side cooperative robot control, in particular to an unmanned aerial vehicle harmful gas distribution monitoring system based on a cloud platform, and the system comprises a communication quality analysis unit which generates a communication quality comprehensive index; the decision authorization migration unit generates a decision authorization factor; the cloud fusion updating unit generates a cloud planning waypoint; the airborne data processing unit generates airborne autonomous waypoints and data retention factors; the collaborative path planning unit is used for performing weighted fusion on the cloud planning waypoint and the airborne autonomous waypoint when the decision authorization factor is lower than an autonomous mode activation threshold value, and generating a final execution waypoint; when the decision authorization factor is greater than or equal to the autonomous mode activation threshold, setting the cloud planning waypoint as a final execution waypoint; according to the invention, the inherent contradiction between cloud centralized control and airborne autonomous detection is solved, and the overall toughness and efficient execution of a monitoring task are ensured.

The invention relates to the technical field of storage, and discloses a threshold voltage processing method of a solid state disk, a data reading method and related equipment. The threshold voltage processing method comprises the following steps: selecting a crystal grain in a frequent rereading state in a solid state disk as a target crystal grain; obtaining the optimal threshold voltage of the target crystal grain; and setting the optimal threshold voltage as the threshold voltage of all the blocks in the closed state in the target crystal grain. According to the method, the threshold voltage deviation problem of the solid state disk can be compensated, the read-write performance of the solid state disk under the scenes of data retention, read interference, cross temperature and the like is effectively stabilized, performance reduction and stability fluctuation caused by repeated rereading are reduced, the data reading efficiency is remarkably improved, the maintenance cost is reduced, and the service life of the solid state disk is prolonged. Reliability of the solid state disk is further improved, and service life of the disk is prolonged.

The invention discloses a surgical suture sample detection method, system, storage medium and device, and the method comprises the steps: obtaining a shot image of a suture sample, the shot image comprising a front image and a back image; after the shot image is preprocessed, a region of interest is extracted, and the region of interest corresponds to a binary suture region image; edge optimization is carried out on the region of interest, and defect detection is carried out on the optimized binary suture region image; and extracting a defect detection result, calculating a qualified rate to output a detection report, and binding the defect detection result with the current suture sample number for filing. Through double-camera design, the transparent conveyor belt and an optimized image processing algorithm, the problems of low detection efficiency, single-angle detection and insufficient data retention in the prior art are solved, and high-efficiency, comprehensive and real-time surgical suture quality detection is realized.

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 embodiment of the invention provides a visual model system, a visual model construction method, a visual task processing method, an image generation method, a video generation method, an information processing method based on a visual model and a cloud training platform. The visual model comprises at least two feature processing modules and at least one tuning module, the feature processing module comprises a plurality of feature processing layers, the tuning module comprises a plurality of tuning layers, and the plurality of tuning layers are respectively connected with the feature processing layers of the corresponding levels in the at least two feature processing modules; and the tuning layer is used for receiving the feature data output by the connected feature processing layer and performing tuning processing on the feature data to obtain a tuning result, and the tuning result is used for generating visual data. According to the method, detail information on multiple levels is reserved, more accurate visual data is generated, a feature processing module and an adjustment and optimization module are decoupled, the universality and generation efficiency of a visual model system are improved, the training overhead is reduced, and the training efficiency is improved.

The invention relates to the technical field of 5G wireless image transmission, in particular to a 5G wireless image transmission low-latency transmission method based on dynamic code rate hierarchical coding, which comprises the following steps of: coding each frame of image according to divided levels; dividing the transmission priority of each frame of image; and periodically determining whether the processing for the video is qualified based on the determined jitter influence parameter, adjusting a preset kurtosis used for dividing the hierarchy to a corresponding value when the processing for the video is determined to be abnormal, and adjusting the processing parameter for the video based on the transmission elasticity quantized value and the data retention characterization value. The transmission priority and the coding hierarchy are divided based on the actual recording condition and the transmission condition, and the coding transmission is carried out by adopting the targeted code rate, so that the video transmission efficiency is improved.

The invention relates to a memristor and a preparation method thereof. The preparation method comprises the following steps: providing an insulating substrate with a bottom electrode formed on the surface; depositing an aluminum oxide thin film on the bottom electrode by adopting electron beam evaporation under a room temperature condition to form a resistive function layer, and not performing high-temperature annealing treatment after deposition is completed, so that a primary oxygen vacancy defect is reserved in the thin film; and then depositing a top electrode on the resistive function layer through thermal evaporation or electron beam evaporation to obtain the memristor. The resistive function layer is an aluminum oxide film which is not densified through annealing, and internal defects of the resistive function layer provide a channel for metal ion migration, so that the reversible resistive characteristic is achieved. The memristor device is simple in structure and suitable for normal-temperature process preparation, the stable resistance switching behavior can be achieved, excessive densification of a film layer and thermal damage of an ITO electrode interface caused by high-temperature annealing are avoided, and the memristor has high cycle durability and nonvolatile data retention capacity and has the stable bipolar resistance change characteristic.

The invention discloses a coal-fired boiler combustion optimization method, system and equipment based on machine learning and a medium, and belongs to the technical field of boiler operation optimizing.The method comprises the steps that operation parameter data and generated fly ash carbon content data are collected; constructing a machine learning model, and performing primary training on the machine learning model; the number of operation parameter data is reduced, secondary training is performed on the machine learning model, and the optimal parameter number is determined according to the fitting effect; screening the operation parameter data, and reserving the operation parameter data of which the quantity accords with the optimal parameter quantity; the method comprises the following steps: constructing a fly ash carbon content prediction model, optimizing an extreme value of the fly ash carbon content prediction model through an optimization algorithm, and determining an optimal boiler combustion operation parameter, and solves the problems that the actual measurement workload is large and the lowest fly ash carbon content cannot be obtained by only depending on a thermal-state multi-working-condition test and easily deviating from the optimal working condition; the existing prediction method has the problems that a local optimal solution is easy to generate and the generalization ability of a model is low.

Various embodiments include techniques for managing cache memory in a computing system. The disclosed techniques include a cache policy manager that monitors activity of various components that access a common cache memory. The cache policy manager establishes cache rules that determine what data remains stored in cache memory and what data is removed from cache memory in order to make room for new data. As the activities of these components change over time, cache rules that work well for a previous activity profile may no longer work well for the current activity profile. Therefore, the cache policy manager dynamically modifies the cache rules as the activity profile changes in order to select cache rules at any given time that work well with the current activity profile. These techniques are advantageous over conventional approaches that employ static cache rules that work well only for specific activity profiles.

Technology for dynamically updating read references levels in NAND memory. A memory system compensates for both cross-temperature (TempX) effects and data retention (DR) effects. The Vt of a NAND memory cell transistor may depend on the temperature, which leads to the TempX effect. The DR effect is due to a change in charge in the memory cell between programming and sensing. The memory system senses a group of memory cells at two Vt distributions to determine a shift in each Vt distribution. One of the Vt distribution may exhibit a greater shift due to the TempX effect than the DR effect. The other Vt distribution may exhibit a greater shift due to the DR effect than the TempX effect. The memory system determines one or more read level offsets based on both the first shift and the second shift.

Systems and methods for providing a memory sub-system controller selectively refresh data by differentiating between read disturb charge loss from data retention charge loss. The controller performs a read disturb induced charge loss (RDCL) scan operation on a portion of a set of memory components. The controller determines that a first bit error count (BEC) associated with the RDCL scan operation on the portion of the set of memory components transgresses a threshold value and determines whether the first BEC corresponds to a second BEC that represents data retention (DR) charge loss. The controller selectively refreshes data stored in the portion of the set of memory components based on determining whether the first BEC corresponds to the second BEC that represents DR charge loss.

The invention relates to the technical field of power transmission lines, and discloses a power transmission line state multi-dimensional sensing method and system based on multi-source data fusion, and the method comprises the steps: dividing the fault evolution into a germination period, a development period and a critical period through a fault layering judgment mechanism, enabling each stage to be matched with a differential caching strategy, and achieving the collaborative optimization of fault data retention and resource utilization. Through a full-link value quantification model, three dimensions of fault state, time decay and data type, confidence gain, link adaptation and redundancy loss correction are fused, a unified priority standard is provided for caching, routing and transmission, and the transmission efficiency of a communication window is improved. A dual-mode reconstruction strategy is adopted, fault physical mechanism deduction and space-time correlation interpolation are combined, missing data are reliably complemented through fusion judgment and conflict analysis, it is ensured that a reconstruction result conforms to a physical rule, and a complete time sequence support is provided for fault traceability.

The invention belongs to the technical field of engineering machinery load safety monitoring, particularly discloses a lifting winch load monitoring system based on dynamic weighing, and aims to solve the problems of large weighing error, response lag and disjunction of early warning and control in the conventional lifting winch load monitoring under a dynamic working condition. According to the system, multi-dimensional parameter acquisition, multi-source interference elimination, load state full-dimensional evaluation, safety risk active intervention and full-process data retention are realized through cooperative work of six modules including a data acquisition module, a data preprocessing module, a dynamic load correction module, a load state evaluation module, a multi-stage early warning and control module and a data storage and tracing module. The system can effectively adapt to the dynamic working conditions of different types of lifting winches, improves the load monitoring precision and response timeliness, upgrades passive alarm to pre-judgment, intervention and tracing full-chain safety management and control, guarantees the operation safety of the lifting winches, and is suitable for various lifting winches in the fields of ports, mines, buildings and the like.

A computer-implemented method for deleting an individual's personal data is provided. A request to delete the individual's personal data may be received from a communication device associated with the individual. The individual's identity may be verified. Responsive to verifying the individual's identity, the request may be compared with a data retention policy, wherein the data retention policy may comprise a data retention end date. If a date of the request is earlier than the data retention end date, a denial notification may be generated and transmitted to the communication device to notify the individual that the request is denied based on the data retention end date. Responsive to a determination that the date of the request is later than the data retention end date, the request to delete the individual's personal data from one or more associated databases may be processed.

The invention provides a ferroelectric transistor, a FeFET memory array and a chip. The ferroelectric transistor comprises a semiconductor channel, an intermediate dielectric layer, an anti-ferroelectric layer, a ferroelectric layer and a gate layer which are sequentially stacked from bottom to top, or the semiconductor channel, the middle dielectric layer, the anti-ferroelectric layer, the barrier layer, the ferroelectric layer and the gate layer are sequentially stacked from bottom to top; or the semiconductor channel, the middle dielectric layer, the ferroelectric layer, the anti-ferroelectric layer, the barrier layer and the gate layer are sequentially stacked from bottom to top; the barrier layer is, or ONO; the anti-ferroelectric layer is or, x is from 0.07 to 0.15. The ferroelectric layer is commonly used in a silicon wafer factory process, is pollution-free and has stability in the aspects of doping concentration, thickness, temperature and stress change; the characteristics of the NVM in the aspects of durability cycle and data retention are improved; interference can be prevented, and read-write delay is avoided.

The invention relates to the technical field of solid state disks, in particular to an optimal offset voltage determination method and device for a flash memory storage medium, and the method comprises the steps: determining a data retention trigger threshold according to the current bit error rate of a target storage block, and determining a read interference trigger threshold according to the current read operation frequency; based on the current erasing times, the erasing times trigger threshold, the current data retention duration, the data retention trigger threshold, the current reading times and the read interference trigger threshold, when the target storage block meets a preset offset voltage determination condition, performing offset voltage scanning on the target storage block, and determining the current optimal offset voltage according to the offset voltage scanning result. Therefore, the problems that in the prior art, due to the fact that a trigger mechanism is rigid and the search efficiency is low, temperature, error rate and load changes cannot be adapted in real time, the reading voltage matching precision is insufficient, and the error rate is increased are solved, the search efficiency and the real-time performance of the optimal offset voltage are remarkably improved, and the reading error rate is effectively reduced.

The invention relates to the technical field of computer NAND chip storage, in particular to an NAND Flash data storage system and method, and the system comprises a cloud inventory management platform; the wireless storage device is provided with a plurality of storage positions for storing hard disks, and a wireless charging module is arranged in each storage position; the energy receiving modules are arranged in the storage hard disks; according to the technical scheme provided by the invention, a cloud-controlled penetration type wireless trickle charging technology is adopted, and on the premise of keeping sealed packaging of the equipment and unattended warehouse, automatic and periodic data refreshing of large-batch and multi-form NAND Flash storage equipment is realized, so that the problem of data retention failure caused by long-term inventory is fundamentally solved, and the service life of the NAND Flash storage equipment is prolonged. Meanwhile, the management cost, the operation risk and the complexity are greatly reduced, and the reliability and the management efficiency of inventory products are remarkably improved.

Technology for re-calibrating a temperature coefficient (Tco) for reading NAND memory cells. The Tco may be re-calibrated based on an amount of data retention impact to NAND memory cells since the NAND memory cells were programmed. The data retention impact may be measured by determining a shift to a candidate Vt distribution. The candidate Vt distribution may be selected as one that exhibits a significant data retention impact. The Tco may include, but is not limited to a bit line voltage Tco or a Vread Tco. The bit line voltage Tco may be used to establish the bit line voltage during read. The Vread Tco may be used to establish a voltage to unselected word lines during read.

The application discloses a transmission data compression method based on an intelligent transformer area terminal, and relates to the technical field of digital information transmission.The method comprises the following steps: obtaining an original data sequence of electric energy metering data, pre-processing the original data sequence, and segmenting the original data sequence to obtain a plurality of sequence segments; calculating an abnormality degree value of each sequence segment and a similarity of adjacent sequence segments, and obtaining the mergability of adjacent sequence segments; based on the mergability of adjacent sequence segments, sequentially merging the sequence segments to obtain a plurality of merged sequence segments; performing Fourier transform on each merged sequence segment, combining the abnormality degree value of each merged sequence segment and the power characteristics of each merged sequence segment, and obtaining a data retention ratio of each merged sequence segment; and based on the data retention ratio of each merged sequence segment, converting the data format and then transmitting the data to a data center.The application solves the problem that a traditional compression algorithm is prone to losing key information, and can dynamically adjust the data retention ratio, thereby improving the compression ratio while ensuring that the key information is not lost.

When performing a consolidation process, entries (uRuns) in the update region (uRegion) of an update layer (uLayer) are typically erased immediately after the data in the uRuns is updated to a master layer (mLayer). The data may, at a later time, be copied back to the uRuns for read purposes. Rather than erasing the uRuns and then copying the data back to the uRuns for read purposes, the uRuns can simply not be erased after the consolidation. If space is needed, the uRuns can be erased without any need for consolidation. Furthermore, if another consolidation process occurs, the uRuns that were previously consolidated, but not erased, can simply be erased.

The invention relates to the field of data access, and particularly provides an MPT-based block chain database system, a data access method, a terminal and a medium, the system comprises a native MPT storage engine used for realizing an MPT node structure in a disk and a memory, and the node structure comprises branch nodes, extension nodes and leaf nodes; the asynchronous I / O module is used for realizing non-blocking disk operation based on Linux iouring; the file system bypass module is used for supporting direct access to the block device; the versioning concurrency control module is used for realizing lock-free reading through an immutable Trie structure and atomic pointer updating; and the dynamic compression module is used for dynamically adjusting a historical data retention strategy according to the disk space utilization rate. The MPT structure storage engine is realized, basic data support is provided for a high-performance block chain system, serialization overhead is eliminated, and storage efficiency is improved.

The invention relates to a batch chart automatic generation method and system based on data fusion and cleaning, electronic equipment and a computer readable storage medium, and the method comprises the following steps: S1, obtaining a measurement data set of a product from at least one data source based on an access parameter preset in a spreadsheet application program; s2, in response to a first interaction operation of a user in the spreadsheet application program, selecting one of a plurality of predefined data retention strategies, and running a first script program to generate a regular data set; the data retention strategy is based on a multiple measurement sequence of the same product and is configured to retain a data subset conforming to a specific quality state and a sequence position; s3, in response to a second interaction operation of the user in the statistical analysis software, selecting one of a plurality of predefined chart generation modes, and generating statistical charts with unified naming specifications in batches; and S4, in response to a third interaction operation of the user in the spreadsheet application program, selecting a report output format.

The application provides a test scheme for checking data retention performance of NOR type Flash memory, focuses on the influence of erase-write cycles on the data retention performance, unifies the erase-write cycle number of the Flash memory test, stipulates clear temperature selection criteria, provides a reference for the Flash memory related test, and comprises the following steps: step one: determining the basic test algorithm of the NOR type Flash memory as the Checkerboard algorithm from the algorithm design complexity and the fault coverage; step two: improving the Checkerboard algorithm process and determining the data retention fault determination step; step three: carrying out a pre-experiment to determine the data retention performance test temperature, erase-write number and sample number of the NOR type Flash memory; step four: determining the erase-write number of the data retention test at normal temperature and the sample number under each erase-write number; step five: determining the test pattern, failure criterion, test duration and test cycle; step six: carrying out the data retention test combined with the erase-write cycle based on the non-replacement timing truncation test; and step seven: test data processing, fitting the average failure time under different erase-write numbers with the erase-write number to obtain the corresponding relationship between the average failure time and the erase-write number.

Time tracking for memory apparatuses is described herein. Time information (e.g., timestamps) received for each power event can be utilized to generate statistical information indicating the duration a computing device has spent in a particular power state. This statistical information can be retrieved by manufacturers for purposes such as data retention analysis.

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.