10906 results about "Storage cell" patented technology

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.

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.

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 relates to the technical field of artificial intelligence, and discloses an enterprise-level large-model agent application system supporting multi-modal collaboration, and the system comprises a user interaction terminal, an agent engine server, a knowledge engine server, a plug-in integration center, and a distributed storage unit. The agent engine server is responsible for intention recognition and task arrangement of a multi-modal input signal, and dynamically loads a differential reasoning strategy based on an environment isolation mechanism. And the knowledge engine server constructs a cross-modal semantic anchor point, analyzes an unstructured document into a tetrad knowledge unit, and realizes accurate recall of images and texts by using a hybrid retrieval algorithm. And the plug-in integration center executes outbound replacement and inbound restoration of the sensitive data through the context-aware dynamic desensitization gateway. According to the method, through a multi-modal semantic association and closed-loop verification mechanism, the problems of low complex document retrieval precision and leakage of external calling data are solved, and the service processing capacity and safety of the system are improved.

The present invention relates to a reconfigurable logic-in-memory cell consisting of triple-gate feedback memory elements. The reconfigurable logic-in-memory cell according to one embodiment of the present invention includes a plurality of triple-gate feedback memory elements including a drain region, a channel region, a source region, and a gate region where first and second programming gate electrodes and a control gate electrode are formed on the channel region.

The invention relates to an intelligent metering box monitoring method, system and device and a storage medium, and the method comprises the steps: continuously collecting the operation data of an intelligent metering box in an offline state of the intelligent metering box, carrying out the abnormal trend recognition of the operation data through combining with a pre-trained edge side abnormality recognition model, and obtaining a local judgment result; abnormal record data are generated according to the local judgment result, the abnormal record data are cached in a local storage unit, and the abnormal record data comprise fault types, timestamps and index values; generating a communication connection request signal under the condition that the communication connection condition is met, and controlling the communication channel to establish network connection according to the communication connection request signal; and after the communication response is received, collecting the network signal strength, and uploading the abnormal record data to a remote management platform based on the network signal strength. The intelligent metering box has the effect of improving the monitoring reliability of the intelligent metering box.

A non-volatile memory device for performing compute in memory operations for a neural network uses a three dimensional NAND architecture. Multi-bit weight values are stored encoded as sets of threshold voltages for sets of memory cells. A weight value is stored in multiple memory cells on the same word line and connected between a bit line and a source line, each of the memory cells programmed to one of multiple threshold voltages. When multiplying an input value with the weight value, the word line is biased so that, for at least one of the threshold voltages, the memory cell will be in the linear operation region. Input values are encoded as a set of one or more voltage levels applied to a corresponding set of bit lines, each bit line connected memory cells also storing the weight value, connected to the word line, and connected to the source line.

A high-density ferroelectric memory, and a preparation method therefor and an application thereof, belonging to the field of semiconductor memories. In the memory, multiple memory cells are arranged in an array, and the two sides of the array of the memory cells are connected to substantially orthogonal word lines and bit lines, the memory cell of the present invention adopts a stacked structure of a top electrode, a resistive switching dielectric layer, an intermediate metal layer, a ferroelectric dielectric layer, and a bottom electrode, which is electrically equivalent to a ferroelectric capacitor and a resistive switching selector connected in series; the voltage division of the distributed ferroelectric capacitor in the unselected cells is reduced by regulating the RC delay of the memory cell, so that its disturbance is reduced; and the capacitance value of the ferroelectric capacitor is stable, and the influence of the disturbance voltage can be effectively reduced by RC regulation. The storage window of the memory is improved and the bit error rate is reduced, without increasing additional area overhead.

The invention provides an enterprise security management method and system based on AI, and relates to the technical field of security management, and the method comprises the steps: configuring a storage path and authority of a data storage unit, and initializing operation parameters of a calculation processing unit; acquiring images and / or video streams of the enterprise security control key area in real time; the real-time data is preprocessed; analyzing the preprocessed image and / or video stream by using the trained AI model, and identifying a preset target and action features thereof in enterprise production operation; comparing the recognized preset target and the action characteristics thereof with a preset early warning rule, and when the deviation exceeds a dynamic deviation threshold value, judging that the action is a wrong action, generating an early warning event and triggering an alarm mechanism; according to the method, data related to an early warning event is stored and examined, an optimization model and rules are fed back through an examination result, a security risk trend is analyzed, improvement suggestions are generated, and intelligentization, precision and high efficiency of enterprise security management are realized.

The invention discloses a memory, a manufacturing method thereof and electronic equipment. The memory comprises a first semiconductor structure, and the first semiconductor structure comprises an active column row, a word line, a data storage unit and a first contact plug. The active column row comprises a plurality of active columns extending in the first direction and arranged in the second direction, the active columns comprise first active columns located in a first area and second active columns located in a second area, the second area is located on at least one side of the first area in the second direction, and the second direction is perpendicular to the first direction; a word line extending in the second direction in the first region and the second region, and coupled with a plurality of active pillars in the active pillar row; the data storage unit is positioned on the first side of the first active column in the first direction and is coupled with the first active column; the first contact plug is located in the second area and is coupled with the word line. The orthographic projection of the first contact plug along the first direction is overlapped with the orthographic projection of the second active column along the first direction.

The invention discloses a rocker output and shaft self-calibration device and method of an unmanned aerial vehicle control terminal, the rocker output and shaft self-calibration device is composed of a rocker information acquisition unit, a rocker signal processing unit and a characteristic parameter storage unit, and zero calibration and extreme value calibration are executed when a rocker is started each time. After the rocker is calibrated, the information processing unit stores special parameters such as the zero position and the extreme value of the rocker into the data storage unit, and the special parameters are used for follow-up rocker processing including amplitude limiting, filtering, dead zone processing and output mapping. The device can reduce the drifting of the output result of the rocker caused by the aging of a rocker device, the voltage attenuation of a control terminal and the continuous friction loss between the mechanical structures of the rocker. The calibration device has no special requirements on rocker types, can be basically suitable for various rockers, is a rocker output and self-calibration device of an unmanned aerial vehicle control terminal with a self-calibration function and good universality, and can realize miniaturization, low cost and fitting engineering practice as much as possible by selecting a proper MCU (Microprogrammed Control Unit) chip.

The invention relates to the technical field of function verification, in particular to a processor loading storage unit function verification method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out formalized verification on a processor loading storage unit through a formalized verification tool, and extracting feature data which does not cover a critical path; wherein the feature data at least comprises a time sequence feature, an address feature and a data dependence feature; converting the feature data into constraint rules available for the dynamic simulation platform, and generating test excitation; and executing dynamic simulation verification based on the test excitation to obtain a coverage rate result. According to the processor loading storage unit function verification method provided by the invention, through formalized verification and dynamic simulation closed-loop cooperation, the directional constraint is generated by extracting the key path features, the verification period is greatly shortened, and the coverage rate convergence efficiency is improved.

A method of performing a task based on a large model and an electronic device are provided, which relate to artificial intelligence technology, and in particular to fields of voice interaction, deep learning, large model, etc. The method includes: acquiring a demand feature characterizing a demand intention; performing a task by using the large model according to the demand feature, to obtain a response text, in which a target response word is determined based on: determining a query feature for each attention subtask in the task based on an associated response word feature; and performing, based on the demand feature read from a storage unit as a value feature and a key feature shared by the plurality of attention subtasks, the plurality of attention subtasks by using a computing unit according to a plurality of query.

A mobile security robot includes a human-sized mannequin mounted on a vehicle. A storage unit, mounted on the vehicle, stores security devices and high-powered energy storage devices for facilitating extended patrols without recharge. A video recording system, disposed in the mannequin, continuously records images of a patrol area. Multiple sensors mounted on and proximal to the mannequin generate sensor data based on environmental conditions of the patrol area. A computing system coupled to the sensors processes the sensor data using artificial intelligence models and generates action commands for execution of tasks by actuators including electric motors, robotic arms, and supplementary attachment devices. The electric motors run the vehicle at different speeds with wheel speed feedback based on the environmental conditions and navigate the vehicle along a predefined travel path with object avoidance during patrols. User interface devices facilitate auditory and visual communication with humans in the patrol area.

The invention provides a synthetic antiferromagnetic memory cell driven by spin orbit moment without magnetic field assistance, and belongs to the technical field of magnetic memory, the synthetic antiferromagnetic memory cell comprises a magnetic tunnel junction of a multilayer film structure, the magnetic tunnel junction comprises a heavy metal layer and a synthetic antiferromagnetic free layer located on the heavy metal layer; the tunneling insulating layer is located on the synthetic antiferromagnetic free layer, the reference layer is located on the tunneling insulating layer, and the metal electrode layer is located on the reference layer; wherein the synthetic antiferromagnetic free layer comprises an inclined vertical magnetic layer, a non-magnetic metal layer and a coupling magnetic layer which are stacked in sequence, and the inclined vertical magnetic layer and the coupling magnetic layer are subjected to antiferromagnetic coupling through the middle non-magnetic metal layer; the inclined perpendicular magnetic layer has inclined perpendicular anisotropy. According to the invention, deterministic magnetization flipping driven by spin orbit moment and resistance state control of the magnetic tunnel junction memory cell without the assistance of an external magnetic field are realized.

According to the storage and calculation integrated chip architecture, the chip stacking packaging structure and the terminal equipment, physical tight coupling of storage and calculation is realized through the 3D stacking design of the first storage unit and the logic calculation unit, the problem of physical separation of traditional storage and calculation is solved, the data carrying distance and the cross-chip communication overhead are remarkably reduced, and the communication efficiency is improved. And the chip area and the packaging process complexity are reduced, and the application scenarios of end-side artificial intelligence reasoning and mass data reading and writing are supported. According to the storage and calculation integrated chip architecture, the first storage unit and the logic calculation unit are directly interconnected through the vertical interconnection technology, the data access delay is reduced, the requirement of end side equipment for low delay is met, and the energy efficiency ratio of the storage and calculation integrated chip architecture is remarkably reduced.

A Harvard-architecture computer simultaneously reads instructions using an instruction bus and accesses data over a separate data bus. A debug module has an external interface to an external debugger that initiates a debugging session by setting a debug bit in a debug mode register. When the debug bit is set, a first mux to disconnect an instruction pointer and an instruction buffer from the instruction bus and instead connects the data bus to the instruction bus. A second mux disconnects a load / store unit in an execution core from the instruction bus and instead connects the debug module to the instruction bus. The external debugger sees a unified memory space and writes addresses to the debug module that are sent through the second mux to access the data memory, and instruction addresses are sent through the second mux and the first mux to the instruction memory to read or write instructions.

Disclosed are a memory device and a control method thereof. The memory device may be a high-capacity and high-performance three-dimensional NAND flash memory. The control method includes the following steps. Data for performing a programming operation on a specific memory cell area is obtained. A number of memory cells in a predetermined potential state in the data are counted as a first number value. The programming operation is performed on the specific memory cell area based on the data. A read operation is performed based on a reference voltage corresponding to the predetermined potential state. A number of memory cells in the predetermined potential state in the specific memory cell area after the programming operation are counted as a second number value. Whether the specific memory cell area has program disturbances is determined based on the first number value and the second number value.

Automated, environmentally monitored and controlled storage units and systems for storing, monitoring, and maintaining a supply of products, particularly temperature sensitive pharmaceutical and / or other high-value products, be they temperature sensitive or not. Such automated storage units contain an array of independently addressable holding locations for containers with product in one or more environmentally monitored (e.g., for temperature, humidity, etc.) and controlled zones fitted with appropriate environmental sensors. In preferred embodiments, the automated storage units also include a reader to track product information and status. Product loading, retrieval, and movement within such automated storage units is performed by a computer-controlled robot. A user interface device, preferably in communication with an application service provider to provide remotely managed inventory management and other services, provides users with inventory- and product-specific information.

The invention discloses a high-density NAND storage medium self-adaptive repairing method which comprises the following steps: a main control chip separates a target feature vector representing the real aging trend of a storage unit from original read data containing random physical noise; the main control chip deduces the target feature vector by using a full-integer recursive prediction model to obtain a health state prediction result of the storage unit in a future preset time period; wherein the health state prediction result comprises an optimal read reference voltage offset and an estimated bit error rate growth curve; and the main control chip adjusts the charge distribution pattern and programming voltage parameters of the data on the storage unit in the data writing stage according to the health state prediction result. By means of the mode, the problems of firmware assembly line blocking and performance jitter caused by floating point operation and huge model parameter loading can be solved under the limited hardware environment that the main control chip only supports integer operation and on-chip cache is extremely small.

The invention relates to the technical field of power system monitoring, in particular to a power distribution terminal fault monitoring system and method. The dual-channel acquisition module is used for acquiring two analog quantities of a power distribution room and mapping the two analog quantities into a power grid environment characteristic matrix; the cyclic mapping module is used for carrying out decoupling operation and generating a noise separation feature vector; constructing a background noise dynamic reference based on the noise separation feature vector, and generating a judgment boundary threshold; performing cyclic increasing and resetting in the fault recall storage unit through a write-in pointer to form a terminal state data stream; the fault judgment module is used for comparing the amplitude of the noise separation feature vector with a judgment boundary threshold value and generating a fault locking instruction; and based on the fault locking instruction, generating a termination signal, freezing the write pointer, and extracting the partial discharge data file from the terminal state data stream. According to the method, a closed-loop monitoring system in which the environment self-adaptive reference and signal feature decoupling support each other is constructed, and a fault backtracking sample with time-space alignment and complete logic is provided.

The invention relates to the technical field of concrete curing, in particular to a concrete curing environment control system with intelligent temperature control and humidity adjustment functions. Comprising a data acquisition and storage unit; the regulation and control decision-making unit is used for calculating a deviation value between the current environment and a target maintenance condition through an improved sectional type PID (Proportion Integration Differentiation) regulation algorithm; a temperature and humidity execution unit; and a man-machine interaction unit. According to the invention, through the distributed air temperature and humidity sensor array and the embedded temperature sensor in the concrete, the air temperature and humidity of the curing space and the internal temperature data of the concrete are collected, and the initial setting stage, the final setting stage and the hardening stage are judged based on the internal temperature change rate and the internal surface temperature difference; the PID parameter adjustment interval corresponding to the concrete mark is called in combination with the stage, smooth parameter switching is achieved, in the concrete curing scene, the heat release rate and strength development requirements of different hydration stages can be accurately met, and the situation that a regulation and control strategy is disjointed with the actual concrete curing requirement is avoided.

According to the data center evaporation cold total heat recovery double-energy-storage air conditioning system and the control method, the obvious energy efficiency improvement and economic optimization effects are achieved, the future server heat load, environment parameters and electricity price changes are accurately pre-judged through a composite prediction model of the central control module, and the real-time charge state of the double-energy-storage module is combined, so that the energy efficiency is improved. A collaborative operation instruction with the optimal cost is generated; by means of deep coupling of the evaporative cooling module and the total heat recovery module, a natural cold source is utilized to the maximum extent, and the running time of a conventional refrigeration module is shortened; through cooperative scheduling of the cold energy storage unit and the heat storage unit, efficient cold / heat storage is achieved in the electricity price valley value period, stored energy is released preferentially in the peak value period, and frequent starting and stopping of equipment are avoided; and on the basis of the multi-dimensional constraint optimization decision model, the total operation cost is minimized on the premise that the system meets the safety temperature and humidity requirements of the data center.

There is provided a molding management system including a server communicably connected to a terminal device, the molding management system managing production of a product in a production process including an injection molding process for the product by an injection molding device. The server includes a storage unit configured to store a plurality of pieces of lot information in which lot identification information for identifying a lot of the product and lot related information including one or more pieces of information concerning the lot of the product are associated with each other and a control unit configured to cause the terminal device to display a lot movement image for receiving lot moving operation for moving the product between a selected pair of the lots among the lots indicated by the plurality of pieces of lot information stored in the storage unit.

To provide a management system that improves the maintainability of a configurator.SOLUTION: A management system manages a configurator that selects candidate combinations of elements that configure a product. The management system comprises: a storage unit for storing configuration information that defines data related to the elements, data related to connections between the elements, and data related to constraints on the connections; and a control unit for selecting candidates for the combination based on a request received from a user and rules related to the combination of the elements generated from the configuration information.SELECTED DRAWING: Figure 1

A charger assembly 10 for charging an energy storage unit associated with an elevator is provided. The charger assembly includes a first charger unit 20 mechanically coupled to an elevator column 30. The first charger unit is adapted to tap voltage from a power source. The first charger unit interconnects a first block 40 and a second block 50. The first block includes at least two slots 60 adapted to interlock with at least two projections 70 provided on the second block. The charger assembly also includes a second charger unit 80 electrically coupled with the first charger unit and mounted on a guide bracket 90 associated with a cabin of the elevator. The second charger unit includes a plurality of pins 100 adapted to receive the voltage tapped by the first charger unit to charge the energy storage unit associated with the elevator.

A memory apparatus includes memory cells configured to store a threshold voltage and disposed in memory holes each defining a channel. The memory apparatus also includes a control means configured to apply a first erase voltage to the channel of each of the memory holes including the memory cells in a first loop of an erase operation. The control means verifies the threshold voltage of the memory cells being erased using a target erase verify level voltage and at least one high erase verify level voltage higher than the target erase verify level voltage. The control means slows erasing of ones of the memory cells in a second loop of the erase operation in response to the threshold voltage of the ones of the memory cells being erased being greater than the target erase verify level voltage and less than the at least one high erase verify level voltage.

The invention discloses a shader task execution method and device, equipment, a medium and a product, and relates to the field of graphic processing. The method comprises the steps that a first shader executes a first shader task; under the condition that execution of a first subtask in the first shader task is completed, the execution result of the first subtask is written into a first storage unit, and a first instruction is sent to a controller; under the condition that a second sub-task in the first shader task is executed, a second sub-task execution result is written into a second storage unit, and the second sub-task is executed after the first sub-task is executed; the controller obtains a first subtask execution result from the first storage unit, generates a second shader task and sends the second shader task to a second shader; and the second shader reads the second subtask execution result from the second storage unit, and executes the second shader task based on the second subtask execution result to obtain a second shader task execution result.

The invention discloses a multi-agent collaborative application big data management system and method. The system comprises a data acquisition unit, a data preprocessing unit, a multi-agent collaborative processing unit, a data storage unit and a data scheduling unit. The data acquisition unit is used for acquiring multi-source heterogeneous original big data and transmitting the multi-source heterogeneous original big data to the data preprocessing unit; and the data preprocessing unit is used for executing preprocessing operation including de-duplication and format standardization on the original big data. The invention relates to the technical field of big data management. According to the multi-agent collaborative application big data management system and method, through a multi-agent collaborative algorithm, the system can realize a self-adaptive data classification and optimization strategy, a data processing mode is dynamically adjusted, the processing efficiency problem of a traditional static rule during data mode fluctuation is improved, and the data processing efficiency is improved. The system adopts a dynamic resource scheduling strategy based on a data access demand and a system load, efficiently distributes calculation and storage resources, and facilitates priority processing of high-priority tasks.