21670 results about "Storage cell" patented technology

Apparatuses, systems, and methods for half-page modes. A memory device may be operated in a full-page mode where all the memory cells along a word line are used for data or a half-page mode where less than all of the memory cells are used for data. In some memory devices, each half of the memory cells may be separately activated by different word line portions. In some half-page modes, data may be stored along a selected portion of the memory cells and additional information such as metadata or module parity may be stored along the non-selected portion of the memory cells. The additional information may be provided along additional data terminals so as not to increase the data burst length.

Apparatuses, systems, and methods for half-page modes. A memory device may be operated in a full-page mode where all the memory cells along a word line are used for data or a half-page mode where less than all of the memory cells are used for data. In some memory devices, each half of the memory cells may be separately activated by different word line portions. In some half-page modes, data may be stored along a selected portion of the memory cells and additional information such as metadata or module parity may be stored along the non-selected portion of the memory cells. The additional information may be provided along additional data terminals so as not to increase the data burst length.

Apparatuses, systems, and methods for half-page modes. A memory device may be operated in a full-page mode where all the memory cells along a word line are used for data or a half-page mode where less than all of the memory cells are used for data. In some memory devices, each half of the memory cells may be separately activated by different word line portions. In some half-page modes, data may be stored along a selected portion of the memory cells and additional information such as metadata or module parity may be stored along the non-selected portion of the memory cells. The additional information may be provided along additional data terminals so as not to increase the data burst length.

Apparatuses, systems, and methods for half-page modes. A memory device may be operated in a full-page mode where all the memory cells along a word line are used for data or a half-page mode where less than all of the memory cells are used for data. In some memory devices, each half of the memory cells may be separately activated by different word line portions. In some half-page modes, data may be stored along a selected portion of the memory cells and additional information such as metadata or module parity may be stored along the non-selected portion of the memory cells. The additional information may be provided along additional data terminals so as not to increase the data burst length.

The invention relates to a mobile structure for dispatching and accommodating drones, comprising a landing platform, a lifting unit for adjusting the height of the landing platform, and a storage unit. The lifting unit allows lifting and lowering of the landing platform up to a height from which a drone can take off and land (take-off height), and to a height in which the landing platform can transfer a drone to a storage level of the storage unit or receive the drone from a storage level (storage level height).

The invention relates to the field of solid state disk fault prediction, in particular to a solid state disk fault prediction method and system based on artificial intelligence. The method comprises the following steps: carrying out storage unit fine-grained division on the solid state disk, carrying out storage unit serialization, and constructing a storage unit sequence of each partition; obtaining a solid state disk running log; carrying out multi-time-point state evolution on the storage unit sequence of each partition based on a solid state disk running log, and carrying out deep dynamic evolution learning to generate a state evolution rule of each storage unit; periodic access load peak calculation is carried out on the solid state disk running log, so that a simulation access data packet of each storage unit is generated; and performing dynamic pressure access simulation based on the state evolution rule of each storage unit and the simulation access data packet of each storage unit to obtain response state evaluation data of each storage unit. According to the invention, efficient and accurate solid state disk fault prediction is realized.

The invention relates to the technical field of data security management, and discloses a blockchain-based forestry data security management system and method, and the system comprises a data collection unit which is used for comprehensively obtaining a multi-dimensional information flow of forest ecology and resource states; the data processing unit is used for carrying out deep cleaning, standardized regulation and feature value extraction on the originally collected mass heterogeneous data; the block chain storage unit is used for constructing a permanent, tamper-proof and distributed secure storage infrastructure platform of the forestry core data; a verification unit; the safety control unit is used for constructing a covering data transmission, storage and access full-chain depth defense system structure model; a user interface unit; an auditing unit; and a network communication unit. The method is reasonable in design, and the intelligent analysis module is used for processing to form a forest interannual growth trend prediction function distribution map state visual output result set.

An intelligent monitoring, inversion and prediction system for a transient process of pumped storage units is provided, including: an equipment layer including sensors for obtaining hydraulic, mechanical and electrical operation data of the pumped storage units in real time, a data layer including a real-time database, a relational database, an expert knowledge base and a file system and used for storing hydraulic, mechanical and electrical operation parameters collected by the equipment layer in different levels, a twin layer including a modeling and an application of a digital twin model and used for a three-dimensional modeling and a key information visual display of a pumped storage system with BIM technology and a service layer displaying one-dimensional time domain parameters and designing and visualizing front-end interfaces for six functions: operation optimization, online monitoring, inversion, dynamic prediction, health assessment and fault warning.

A data-driven dynamic energy management system for the adaptive coordination of renewable and conventional energy sources, consisting of: a processing unit configured to perform real-time calculations to optimize the generation, storage, and distribution of electrical energy by continuously analyzing operational data, forecasting future energy demand, and generating control instructions to match available generation resources with forecasted consumption demand; a storage unit connected to the processing unit, configured to store records of historical energy production and consumption, environmental data, operating thresholds and learned model parameters, and to provide said data as input for the forecasting and optimization routines performed by the processing unit; a multitude of IoT-based monitoring units, each comprising at least one sensor configured to measure instantaneous parameters of generation, storage level, consumption rate and environmental conditions, with each monitoring unit being configured to periodically transmit measurement packets to the processing unit via a secure communication network; a forecasting unit implemented in the processing unit, configured to process historical and real-time data to create forecast curves for demand and generation using statistical and probabilistic forecasting techniques, and to dynamically update the weights of the forecasting model in response to observed deviations between forecasted and actual output; an optimization control unit implemented in the processing unit and configured to evaluate the outputs of the forecasting unit together with current operational data to determine a set of optimized control variables representing the target generation contribution of each energy source, and to pass these targets to a lower-level controller for execution; a controller that is communicatively connected to the processing unit and the multiple energy generation sources and is configured to regulate the operation of each source by adjusting the activation state, output level and operating priority based on the control signals received from the processing unit; an energy storage management unit comprising at least one battery array and a power conditioning circuit, configured to receive control instructions from the processing unit, store excess generated energy, release stored energy when forecasted demand exceeds available generation, and report charging and discharging characteristics in real time to the processing unit for continuous recalibration; an alarm and notification control unit connected to the processing unit, configured to continuously compare storage levels and generation reserves with stored operating thresholds, trigger predefined responses when critical or abnormal conditions are detected, and transmit acoustic, visual, and digital remote alerts to designated operators; a user interface terminal connected to the processing unit, configured to display real-time generation statistics, demand forecasts, energy storage status, and system alerts, and to accept operator-defined parameter inputs that are transmitted to the processing unit for recalibration of forecast or optimization parameters; and a secure server interface configured to synchronize operational logs, learning data, and performance indicators with a remote monitoring or analysis server for centralized monitoring, long-term data analysis, and distributed decision support.

Described herein are various coupling systems to be used with storage units that are selectively coupled and decoupled. The coupling systems may be used with storage units that are stackable and / or transportable, thus allowing the storage units to function well within a large stationary environment, such as a basement, and also for a subset of the storage units to be selected and easily moved to another location.

Technology for reading memory cells in three-dimensional memory having multiple tiers. The memory system erases the tiers within each block independently. Then, memory cells in the tiers are programmed by units such as word lines. The memory system determines one or more read parameters for the selected tier based on the programmed / erased states of the other tiers in the block. For example, the memory system may select read reference levels for the selected tier based on the programmed / erased states of the other tiers. In an aspect, the one or more read parameters are used to determine the set of reference voltages for a bit error rate estimation scan (BES).

The present invention discloses a system and method for secure artificial intelligence-based financial technology governance and risk management, designed to provide real-time, autonomous, and verifiable compliance assurance within digital financial ecosystems. The invention integrates a secure artificial intelligence processing unit, a governance control processor, a cryptographically anchored storage unit, a federated learning coordination processor, and a quantum-resistant communication interface enclosed within a tamper-proof hardware structure. The system performs encrypted machine learning computations on financial transaction data using homomorphic encryption and trusted execution environments to preserve confidentiality during analysis. It computes a governance risk index based on probabilistic inference and anomaly detection to identify regulatory deviations, applies adaptive compliance reasoning across multi-jurisdictional frameworks, and automatically enforces governance actions through secure decision logic.

The invention discloses a processor, a chip product, computer equipment and a tensor processing method, and relates to the technical field of processors. A first tensor having a plurality of elements arranged according to a first arrangement order is stored in the first storage unit; the tensor storage engine is used for reading the plurality of elements from the first storage unit to the second storage unit according to a second arrangement sequence to obtain a rearranged tensor; the tensor calculation engine is used for executing logical operation on the rearranged tensor to obtain an operation result; the format conversion unit is used for converting the data format of each element in the operation result into a target data format to obtain an operation result after format conversion, and storing the operation result after format conversion into a third storage unit, the operation result after format conversion comprises the operation results of the multiple elements, and the third storage unit is used for storing the operation results after format conversion. A third arrangement sequence of the operation results of the plurality of elements in the third storage unit is the same as the first arrangement sequence. The development cost of the processor can be reduced.

In certain aspects, a memory device includes a semiconductor layer, a peripheral circuit including a peripheral transistor in contact with the semiconductor layer, an array of memory cells disposed beside the semiconductor layer and the peripheral circuit, and bit lines coupled to the memory cells. Each of the memory cells includes a vertical transistor extending in a first direction, and a storage unit coupled to the vertical transistor. Each of the bit lines extends in a second direction perpendicular to the first direction. A respective one of the bit lines and a respective storage unit are coupled to opposite ends of each one of the memory cells in the first direction.

The invention provides an intelligent medicine storage management method and system based on digital twinning. The method comprises the following steps: firstly, generating a virtual storage space, embedding a binding relationship between a medicine batch number and a space coordinate, and then collecting temperature gradient distribution data, humidity fluctuation data and illumination intensity time sequence data of each medicine storage unit in a physical medicine warehouse; the method comprises the following steps: acquiring three kinds of data, mapping the three kinds of data to corresponding coordinate positions in a virtual storage space, generating a three-dimensional thermodynamic map based on temperature gradient distribution data and storage environment standard parameters associated with drug batch numbers, identifying an abnormal area, and reversely positioning a corresponding drug storage unit in a physical medicine warehouse according to the coordinate position of the abnormal area. The directional ventilation device is controlled to adjust the airflow circulation path of the medicine storage unit, a batch medicine migration path planning scheme is generated, the technical scheme provided by the invention realizes fine management and real-time monitoring of the medicine storage environment, and the safety and efficiency of medicine storage are significantly improved.

The embodiment of the invention provides a cleaning assembly replacement base station, and the base station comprises a cleaning assembly carrying unit which is used for carrying a cleaning assembly dismounted from cleaning equipment, and carrying a cleaning assembly to be mounted of the cleaning equipment; the cleaning assembly storage unit is used for storing the detached cleaning assembly and storing the cleaning assembly to be installed; and the cleaning assembly conveying mechanism is used for conveying the detached cleaning assembly from the bearing unit to the storage unit and conveying the cleaning assembly to be installed from the storage unit to the bearing unit.

The invention relates to the technical field of e-commerce intelligent recommendation, in particular to an e-commerce intelligent recommendation system based on user behavior big data, which comprises a data acquisition and storage unit, a data preprocessing unit, a model construction training unit and a recommendation generation and output unit. The method comprises the steps that data such as user behaviors, equipment, geographic positions and access time are collected and stored in a distributed database, a data preprocessing unit extracts the data, constructs a user behavior sequence and encodes commodity and behavior characteristics, and a model construction training unit obtains user interest vectors by using a long and short-term memory network in combination with an attention mechanism; model parameters are updated with the help of a deep Q network, commodities are screened, sorted and displayed by a recommendation generation and output unit according to interest vectors, meanwhile, a feedback optimization system is collected, recommendation accuracy is improved, user shopping experience is enhanced, and an e-commerce platform is assisted to improve operation efficiency and commodity sales conversion rate.

The invention relates to a detection device (10) for detecting the emotional state of a user. The detection device (10) comprises a processing unit (1) for processing data, in particular input data, a main data storage unit (2) for storing data, in particular input data and / or data processed by said processing unit and a connecting element (3a, 3b) for connecting the detection device (10) to an interface device (50), in particular a mobile phone or a tablet, and / or a recording device (7a, 7b). The detection device (10) is adapted to be calibrated to said user by use of the processing unit (1) and calibration data. In particular, the calibration data is at least one set, preferably five sets, of audio and video data of said user. The processing unit (1) is adapted to analyse input data based on said calibration. In particular, the processing unit (1) is adapted to compare input data to calibration data and to calculate the nearest approximation of the input data and the calibration data.

The invention discloses a phase change memory and electronic equipment, the phase change memory comprises a comparator, a second switch, a third switch, a memory circuit, a selected digital line, a first switch and an unselected digital line, the memory circuit, the selected digital line, the first switch and the unselected digital line are connected in sequence, and the reference voltage of the unselected digital line is set in a reading operation through the first switch and the third switch; the reference voltage is in positive correlation with the second negative voltage, the second negative voltage is smaller than the first negative voltage, and compared with the reference voltage which is in positive correlation with the first negative voltage, the lower reference voltage can be generated, so that the overshoot current flowing through the memory cell at the opening moment is reduced, and the reading interference suffered by the memory cell is reduced.

The invention relates to the technical field of electric energy metering, in particular to an insulation performance evaluation system and method for an insulation voltage transformer, and the system comprises an insulation monitoring and sensing optimization module, a central storage unit, a data processing and abnormity analysis module, and an equipment performance evaluation module. The insulation monitoring and sensing optimization module builds an intelligent sensor network and a data acquisition and processing terminal, and realizes real-time monitoring of the insulation voltage transformer; the data processing and anomaly analysis module extracts key features and analyzes the key features in real time by using a local anomaly factor algorithm, so that the abnormal change of the insulation performance can be found in time; and the equipment performance evaluation module calculates a comprehensive gain value index to carry out detailed performance evaluation on equipment with problems, so that operation and maintenance personnel can know the state of the equipment and formulate a reasonable maintenance, replacement or optimization strategy. The method is used for solving the technical problems of incomplete monitoring and insufficient evaluation of the insulation performance of the insulation voltage transformer.

Systems and methods for determining neural network brittleness are disclosed. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving a modeling request comprising a preliminary model and a dataset. The operations may include determining a preliminary brittleness score of the preliminary model. The operations may include identifying a reference model and determining a reference brittleness score of the reference model. The operations may include comparing the preliminary brittleness score to the reference brittleness score and generating a preferred model based on the comparison. The operations may include providing the preferred model.

The invention relates to a computer system using a computational model. Systems, methods, computer-readable storage media, and computer program products for crop breeding questions and answers are disclosed. A system for crop breeding questions and answers includes a computing resource, a storage unit, and a large language model. The storage unit is configured to store a knowledge graph, the knowledge graph comprising a crop breeding data set. The large language model is configured to: receive input from a user; performing retrieval in the knowledge graph by using a predefined operator to determine a knowledge graph retrieval result; determining the credibility of the knowledge graph retrieval result; selectively performing an additional search to determine a final search result based on the credibility; and generating an answer to the crop breeding question based on the crop breeding question and the final retrieval result. According to the system, the limitation that a large language model lacks professional knowledge for the crop breeding field is overcome, and the accuracy of answering the crop breeding problem by the large language model is improved.

The invention discloses a unified storage management method for station data in expressway data, which comprises the following steps of: S1, constructing a multi-source heterogeneous data acquisition channel, and processing various data sources by using edge computing nodes to generate a standardized metadata packet; s2, establishing a dynamic fragment storage matrix, and performing three-dimensional slicing on the data from time, space and business dimensions; s3, designing an event-driven data association engine, establishing a space-time mapping relation, and realizing automatic association storage through event ID chain type binding; s4, deploying a multi-modal storage cluster, storing different data by using different storage units, and tracking data consanguinity through a distributed index service; s5, implementing dynamic vectorization authority management, calculating an access authority level according to cosine similarity, and establishing a fine-grained data access control model; and step S6, constructing a service data interface gateway. The method has remarkable advantages in the aspects of highway data acquisition, storage, association, management, sharing and the like.

The invention discloses a visual Transform accelerator implementation method and system, and belongs to the technical field of computer vision, the visual Transform accelerator is implemented based on an annular reconfigurable architecture, and the annular reconfigurable architecture forms an annular topology by a plurality of Transform acceleration cores, a storage unit and a shared memory through an AXI bus; the method comprises the following steps: constructing a Transform calculation unit by adopting a pipeline architecture, wherein the Transform calculation unit comprises a multi-head attention unit and a multi-layer perceptron unit; and the multi-head attention unit and the multi-layer perceptron unit multiplex a matrix multiplication subunit and a layer normalization unit to realize normalization and multiplication and addition operation of data. According to the method, the execution speed of the visual Transform model can be greatly improved, more innovation space can be provided for developers, and the computer vision technology is promoted to be developed to wider application fields.

A device for real-time performance monitoring and optimization in software systems, comprising: a data acquisition module configured to acquire performance measurements from various software core components in real time, wherein the data acquisition module also includes a variety of sensors connected to the software system to acquire measurement data including CPU utilization, memory consumption, I / O operations and network latency; a data processing unit that is operationally connected to the data acquisition module, wherein the data processing unit is configured to receive and preprocess the acquired measurement data, apply filtering mechanisms to remove irrelevant or redundant data, and normalize the data for further analysis; a power analysis unit configured to analyze the processed measurement data in real time, wherein the power analysis unit includes a predictive model to identify potential power bottlenecks and a rule-based logic system that compares current power measurements with predefined thresholds to detect anomalies; an optimization module that dynamically adjusts software system configurations based on the output of the performance analysis unit, wherein the optimization module includes a feedback mechanism that fine-tunes software system parameters by employing automated tuning actions, such as adjusting resource allocation and load balancing; a user interface module that is operationally connected to the optimization module and the data acquisition module, wherein the user interface module is configured to display real-time performance metrics and optimization results to an end user via a graphical interface, including visual representations of the current system status and historical performance trends; a data storage unit configured to log performance metrics, optimization measures, and analysis results for long-term trend analysis, the data storage unit also including a hierarchical storage management system that stores data at different levels of detail depending on the age and relevance of the data.

The present disclosure provides a verification system, a verification method, an electronic device and a storage medium. The verification system includes a simulation verification device, a first portion and a second portion. The first portion includes a first master module and a second slave module. The second slave module includes a memory unit connected to a memory access interface at a periphery of a design under test. The second portion includes a first direct programming interface, a second direct programming interface, a function library module, and a test case module. The first direct programming interface communicates with the first master module and is configured to call a first function to implement front door access to a register of the design under test. The second direct programming interface communicates with the memory unit and is configured to call a second function to implement back door access to the memory unit.

A memory system, an operation method thereof and a readable storage medium are provided according to examples of this disclosure. The memory system including: a memory device including a plurality of memory blocks, each of which including a plurality of word lines and a plurality of memory cells coupled to the plurality of word lines; a memory controller coupled to the memory device and configured to: acquire a read retry voltage with both a first-type read retry table and a second-type read retry table; control the memory device to perform a read retry operation with the read retry voltage.

The invention relates to the technical field of warehouse management, in particular to an unmanned warehouse management method and system with a real-time inventory function, and the method comprises the steps: building a signal strength-probability statistical model through return signal data generated in a historical inventory process, and carrying out the stability verification of each RFID tag return signal in a current inventory period, and under the condition that the stability is confirmed, carrying out preliminary positioning based on the time difference of arrival and determining the probability of the storage unit. And finally, the preliminary positioning is verified in combination with the probability of the storage unit and the checking information of the last checking period, so that the situation that whether the position of the RFID tag is changed really cannot be confirmed due to the fact that verification cannot be carried out when the positioning jumps is avoided. According to the invention, low-cost and high-reliability material positioning can be realized by using an existing RFID system, so that real-time and accurate checking is realized, and an information basis is provided for management of unmanned warehouses.

An electronic device for multimodal temporal-axis fusion artificial intelligence models is proposed. The electronic device comprises a storage unit, and a processor, wherein the processor may obtain a plurality of first visual features respectively corresponding to a plurality of different time points or time periods from a video, obtain a plurality of text features respectively corresponding to the plurality of time points or time periods from text, obtain a plurality of first local fusion features, respectively corresponding to the plurality of time points or time periods, from the plurality of first visual features and the plurality of text features by fusing the first visual features and the text features, which correspond to a same time point or time period, and obtain at least one global fusion feature from the plurality of first local fusion features.

Disclosed is method and system for safety monitoring of pipeline operation status based on smart gas IoT. The method includes: obtaining operation data of a gas pipeline in a monitoring area; obtaining candidate pipeline information; obtaining candidate pipeline information; determining, based on the candidate pipeline information, target pipeline information, and sending the target pipeline information to the gas company management platform through the government safety supervision sensor network platform; generating, based on the target pipeline information, a maintenance instruction, and sending the maintenance instruction to a device object platform; sending the monitoring adjustment instruction to the plurality of target monitoring devices through the device object platform; sending the storage allocation instruction to the storage unit through the device object platform to control the storage unit to delete outdated monitoring data and adjust the allocation ratio according to the allocation ratio and the minimum allocation space.