712 results about "Data retention" patented technology

Provided herein are exemplary systems and methods for an intelligent secure networked system configured by at least one processor to execute instructions stored in memory, the system including a data retention system and an emotional analytics system, the emotional analytics system performing asynchronous processing to determine if interactions with a user's computing device are such that the user is responding from an emotional state of mind or a meditated state of mind.

The invention discloses a self-adaptive management method and system for intelligent terminal equipment of a distributed power distribution network. According to the method, a self-organizing peer-to-peer communication network covering the whole network is constructed, and neighbor discovery and information sharing among intelligent terminal devices are achieved; the terminal independently completes control instruction calculation based on the local electrical parameters and a preset multi-objective function and optimizes an area control effect through a cooperation mechanism; introducing a self-adaptive adjustment strategy of a control algorithm; when abnormal operation is detected, the terminal can autonomously complete fault positioning and isolation, and power supply recovery is realized based on standby path judgment or micro-grid switching; the central management unit periodically carries out acceptance capacity evaluation, and terminal model parameters are aggregated in a federated learning mode; the terminal has an edge autonomous capability, and can maintain local control and data retention when communication is interrupted. The system has the characteristics of quick response, flexible structure, intelligent cooperation, high adaptability and the like, and is suitable for intelligent operation and management and control scenes of various types of power distribution systems.

The invention discloses an optimization method and device for reading performance of a flash memory in a controller and a storage medium, and belongs to the technical field of flash memories.The method comprises the steps that a preset characteristic quantity, the number of erasing and writing reading times and data retention time are input into a current prediction model to obtain a reading voltage offset interval; the method for predicting the threshold voltage distribution of the flash memory according to the use condition of the flash memory is more real-time; on the basis of reading the voltage offset interval, performing read retry operation; during read retry operation, only one offset value of read voltage is adjusted to change in each page, and other voltage offset values in the same page change along with the change of the offset value of the read voltage; through the correlation of different read voltage deviation values of the same page, the number of times of re-reading is greatly reduced, the re-reading time is shortened, the reading performance is improved, the current prediction model is further updated and stored by utilizing threshold voltage distribution data determined by the read re-try operation, and the updated prediction model is used for the next read operation, so that the prediction accuracy is improved.

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.

Methods, apparatuses, and systems related to storing non-mission-critical data using retired memory slots are described. An apparatus includes circuitry configured to determine that a post package repair (PPR) operation, associated with a memory row of a memory device, has been requested by a host device communicably coupled to the circuitry. The memory row is associated with a physical address. The circuitry determines a location of a defective bit in the memory row. Retired row data comprising the physical address associated with the memory row and the defective bit location is maintained in non-transitory memory of the apparatus.

The present invention provides a method for real-time parsing and dynamic decoding of audio and video streams in 5G enhanced calls, and relates to the field of new generation communication telephone technology. The first method is to perform audio and video media negotiation after the 5G enhanced call starts, read the SDP description information to separate the media description control information and the RTP data packet, separate the audio and video media stream data according to the media load type, parse the load data according to the RTP data protocol format, and parse the load data of the data packet in the call in real time. The second method is to retain the effective frame data, rearrange the frame data and compensate for the silent frame of the extracted AMR-WB voice data, parse the complete AMR-WB audio stream, and then determine the decoding parameters according to the obtained audio clock frequency, and transcode the AMR-WB audio stream into the PCM encoding format. This method can solve the problem that the existing technology cannot perform real-time parsing of audio and video streams under the 5G enhanced call network. Under the premise of ensuring the quality of 5G enhanced calls, recognizable transcoded audio is provided for intelligent interaction in calls.

An AI and machine learning-based system for automating employee management and work information processing within an organizational structure, the system comprising: a central processing module configured to aggregate and pre-process data from multiple sources, including attendance records, performance logs, task management systems, and communication channels, with the central processing module normalizing and filtering the data to ensure consistency and accuracy in real-time analysis; a machine learning-based analysis unit operatively connected to the central processing module, the analysis unit comprising a natural language processing (NLP) sub-module, a sentiment analysis sub-module, and a pattern recognition sub-module, and configured to extract, analyze, and interpret both structured and unstructured data for insights into employee behavior and performance assessment, and further configured to adapt and refine models based on continuous data inputs from the central processing module; a predictive task scheduling component comprising a reinforcement learning-based model that leverages employee skill profiles, historical task completion rates, and workload patterns to dynamically distribute tasks, with the predictive task scheduling component further configured to self-optimise based on real-time feedback regarding task completion efficiency, priority changes, and schedule adjustments within the organization; a performance tracking unit configured to receive inputs from the central processing module and the machine learning-based analytics unit, wherein the performance tracking unit continuously monitors employee performance, challenges, and areas for improvement and stores these insights in individualized, encrypted employee profiles that can be accessed in real time, thus supporting data-driven performance reviews and improvement plans; an input / output interface for user interaction, the interface providing managers with interactive access to review employee metrics, task assignments, and performance feedback, and enabling employees to securely view individual performance metrics, feedback, and task details, the interface further being configured with user-level access controls based on historiographical organizational roles; a secure data storage component configured to securely store employee data, task logs, and performance metrics, where the data storage component supports both local and cloud-based storage solutions, uses encryption protocols for secure data retention, and provides access control mechanisms for authorized retrieval of stored data; a communication interface module operatively connected to the central processing module and configured with multi-protocol communication capabilities, including Wi-Fi, Ethernet, and Bluetooth, wherein the communication interface module facilitates real-time data synchronization between remote and local devices and is integrated with an AI-based anomaly detection system that flags irregularities or potential security threats in data transmissions; and an adaptive learning module operatively connected to the machine learning-based analytics unit and configured to continuously retrain machine learning models based on real-time data inputs, where the adaptive learning module uses reinforcement learning and unsupervised learning techniques to refine task recommendations, adjust performance metrics, and optimize task assignment rules based on the evolving needs of the organization.

Disclosed herein are inventive concepts that facilitate the dynamic management of data retention. Data records associated with point-of-sale transactions can undergo evaluation based on data utilization metrics, which can include frequency of data access and timing of data access. A computational model can process these metrics to quantitatively assess each record based on a composite metric, leading to the generation of a data retention policy. Storage of at least some data can be modified to conform to the data retention policy.

A controller, of a solid state drive (SSD), may perform, on one or more blocks of a non-volatile memory device of the SSD, read operations using pre-determined threshold voltages associated with two overlapped charge states. The read operations may be performed after a power-on condition following a power-off condition on the non-volatile memory device. The controller may determine, using a machine learning model, a change in threshold voltages associated with the two overlapped charge states, after the power-off condition. The machine learning model may determine the change in threshold voltages using bit error rates associated with the read operations. The machine learning model may be trained to determine changes in threshold voltages for the two overlapped charge states, after power-off conditions. The controller may determine adjusted threshold voltages associated with the two overlapped charge states based on the change in threshold voltages.

The invention provides a dynamic latch, comprising an input terminal for inputting a first data; an output terminal for outputting a second data; a clock signal terminal for supplying a clock signal; a data transmission unit for transmitting the first data under control of the clock signal; and a data output unit for converting the first data into the second data. The data transmission unit and the data output unit are sequentially connected in series between the input terminal and the output terminal, and a node is provided between the data transmission unit and the data output unit. The dynamic latch further comprises a data retention unit electrically connected to the node. The retention time of data can be effectively extended, thereby improving data security and accuracy.

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 memory space indexing system and method for power grid data, and the system comprises a variable-length prefix compression coding unit and a multi-level indexing unit. The variable-length prefix compression coding unit is used for storing index information to adapt to the real-time change of power grid data; the multi-level index unit is used for retaining data which are most frequently accessed in a rapid memory, storing data which are less accessed in an auxiliary memory which is slower but larger in capacity, monitoring the change of power grid data in real time, dynamically encoding new data, updating an index structure, dynamically adjusting the size and the structure of an index according to the data access frequency and the updating frequency, and storing the data which are most frequently accessed in the rapid memory and the auxiliary memory which is slower but larger in capacity. Index nodes are split or merged by using the flexibility of compression coding of prefixes with variable lengths so as to adapt to the change of data volume. According to the method, the size and the structure of the index can be dynamically adjusted, so that the memory occupation is reduced, and the indexing efficiency is improved.

Examples of a virtualized file server that persistently stores file system event data records are described. The virtualized file server may include an audit framework with a connector publisher that is configured to publish the event data records and other information for consumption by other services using a message system. The event data records may include data related to various operations on the file system executed by the VFS. The VFS may persistently store event data records according to a data retention policy and / or until an event data record is consumed by one or more particular services.

Systems and methods for novel uses and / or improvements to data migration. In particular, systems and methods for data migration of metadata stored in object storage from one container to another, especially in instances when the metadata is destined for ingestion by an artificial intelligence application. The systems and methods ensure that all metadata (e.g., metadata stored in object storage) is preserved during data migration, including metadata such as content type, object lock mode, object lock retain until date, and / or custom metadata.

An apparatus, including: a first multiplexer including inputs configured to receive an input data signal and a scan signal, and a select input configured to receive shift control signal; a first latch including an input coupled to an output of the first multiplexer, and a complementary (e.g., inverting) clock input configured to receive a clock signal; a second latch including an input coupled to the output of the first multiplexer, and a non-complementary clock input configured to receive the clock signal; and a second multiplexer including inputs coupled to outputs of the first and second latches, respectively, a select input configured to receive the clock signal, and an output configured to generate an output data or scan signal.

The invention relates to the technical field of digital storage, and particularly discloses a multi-dimensional space storage management method and system for a digital archive and a storage medium, and the method comprises the steps: receiving an archive to be stored, and scanning the archive to obtain a digital archive; the digital archive is a scanning image set; sequentially reading images of any digital file, identifying the images, positioning a textbox, and extracting a characteristic curve of each image based on the positioned textbox; determining the anomaly degree of any image according to the characteristic curve, counting the anomaly degrees of all the images in the same digital file, and determining the universality of the digital file; and archiving and storing the digital archives according to the popularity. According to the method, the archives are scanned to obtain the digital archives, the digital archives are subjected to feature extraction, and then classified, archived and stored, so that the data retention time is greatly prolonged, and the data storage space is reduced.

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 provides a memory structure and a preparation method thereof. The method comprises the following steps: providing a substrate; depositing a floating gate layer on one side of the substrate; etching the floating gate layer to form a plurality of floating gate structures; a plurality of separated floating gates are formed through photoetching, a gap is formed between every two adjacent floating gates, the section of each floating gate is of a trapezoidal structure, the upper bottom of each trapezoidal structure faces the corresponding gap, and the lower bottom of each trapezoidal structure faces the corresponding selection gate; performing ion implantation on the substrate in alignment with a gap position between the floating gates to form a source end; a control gate is formed on one side of the source end, the control gate is located between every two adjacent floating gates, and the two floating gates located on the two sides of the control gate are symmetrically arranged relative to the control gate. The data retention capability of the memory is improved by changing the shape of the floating gate, damage to the tunneling oxide layer during source end ion implantation is avoided, part of existing process steps are reduced, the quality of the memory is improved, and the preparation efficiency is improved.

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.

A computer-implemented method of using a blockchain to provide proof of a data retention policy, wherein a smart contract defines one or more respective data retention requirements for storing data items at a storage location, and wherein the method comprises: receiving a data item and / or an encrypted version thereof, and one or more data retention details of a retention policy; supplying, to a smart contract, the data item and / or the encrypted version thereof, and the data retention details; and executing the smart contract, wherein the smart contract is configured to, when executed: determine whether the data retention details satisfy the data retention requirements; and if so, submit a transaction to the blockchain, wherein the transaction comprises the data retention details and at least one of: the data item, the encrypted version thereof, a reference to where to the data item is stored at the storage location.

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 application of a transistor device with a storage function, and belongs to the technical field of semiconductor devices. In order to solve the problems of poor reliability, low integration level and the like caused by lack of a proper charge trap medium in the existing two-dimensional charge trap memory, the invention proposes that two-dimensional lead iodide (PbI2) is adopted as a charge trap layer, and efficient charge trapping is realized by utilizing the natural iodine vacancy defect of the two-dimensional lead iodide (PbI2). According to the device, a two-dimensional semiconductor material (such as WSe2) and PbI2 are integrated through a Van der Waals heterostructure to form a grid-control storage unit. The device has the advantages of large storage window, high switch ratio, high writing speed, multi-level storage capability, high durability and long data retention time. The invention provides an innovative solution for the nonvolatile memory with high integration level and low power consumption.

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 invention relates to the technical field of solid state disks, and discloses an optimization method and device for SSD open data block timeout check, computer equipment and a storage medium. The method comprises the following steps: traversing all open blocks one by one to obtain a next open block; obtaining the temperature of the current SSD, and querying a corresponding data retention coefficient; calculating according to the data retention coefficient to obtain a timeout accumulated record value of the open block; judging whether the overtime accumulated record value of the open block exceeds a processing threshold value or not; and if the overtime accumulated record value of the open block exceeds a processing threshold, triggering open block processing to obtain a processing result. According to the method, the SSD temperature is introduced to correct the timeout time of the open block, the time accuracy of timeout processing can be improved, and write amplification caused by open block processing is reduced as much as possible on the premise of avoiding the data retention problem.

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 novel oscillation damping control method, which comprises the following steps of: enabling a system to be controlled to be equivalent to a single-input single-output discrete time nonlinear system, and establishing a novel dynamic linearization data model with a pseudo order L based on a plurality of historical output data; calculating a pseudo partial derivative estimated value # imgabs0 # by using input and output data of a to-be-controlled system, and setting different constraint conditions and initial values for different items in a pseudo partial derivative vector; based on a common control input criterion function, a control algorithm fully utilizing historical output data of a system is provided; the first item and the last item of historical output data in the sliding time window are reserved, the other items are sequentially sampled according to a certain interval, and a sparse vector with the length being m (m is smaller than or equal to L-1) is formed again; the influence of historical input signals except the m sampling signals on the system is ignored, and a new pseudo-partial derivative estimation algorithm and control algorithm are obtained. Compared with the prior art, the oscillation suppression effect is better, and the calculation amount and the storage burden are greatly reduced on the premise that the control effect is guaranteed.

The embodiment of the invention provides a method for optimizing NAND flash memory data retention capability, electronic equipment and a computer readable storage medium. The method comprises the following steps: determining detection time under the condition that the embedded multimedia card is switched from a working state to a dormant state; under the condition that the detection time reaches a preset time threshold value, detecting an error correction code (ECC) of the firmware program; under the condition that the ECC reaches a preset detection threshold value, the detection temperature is obtained; and according to the detection temperature and the preset temperature scene division information, controlling the firmware program to carry out refreshing processing or keep the firmware program unchanged. According to the scheme of the embodiment of the invention, the firmware program can be updated in combination with the detection time and the detection temperature, and the data retention capability of the NAND flash memory is improved, so that the accuracy of subsequent data reading can be well improved.

To reduce cost of the cloud in retaining data at an on-premise side and cloud side.SOLUTION: A first storage system 100 stores data related to execution of a first server in a logical volume, and transmits the data stored in the logical volume to a second storage system 300. The second storage system 300 provides a virtual volume to the second server, and stores the data received from the first storage system 100 in the virtual volume. The second storage system 300 executes a process by using data stored in the virtual volume at each execution timing. Then, the second storage system 300 determines whether the data stored in the virtual volume is left in the virtual volume or is discarded based on the presence or absence of an access and the type of access, which are access statuses to the data at each execution timing, and discards the data determined to be discarded from the virtual volume.SELECTED DRAWING: Figure 21