14660 results about "Storage cell" patented technology

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 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.

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.

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 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.

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.

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.

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.

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 invention relates to the field of edge computing and Internet of Things, and discloses a miniature data transaction device which comprises an edge computing unit used for executing a centralized or decentralized matchmaking algorithm and a transaction protocol; the multi-dimensional detection module comprises a compliance detection unit, a safety detection unit, a quality evaluation unit and a scene applicability evaluation unit; the hardware accelerator is used for accelerating a detection task and encryption operation; the communication module supports multi-protocol data transmission; the storage unit is used for caching transaction data and intelligent contract codes; the power management unit is used for controlling the total power consumption of the equipment, and the edge computing unit comprises a hierarchical trusted execution environment architecture consisting of a safe enclave and a general computing unit. According to the method, a hardware isolation architecture of the secure enclave and the general computing unit is adopted, and the dynamic key encryption shared memory technology is combined, so that the effects of privacy computing and efficient matching parallel execution are achieved.

Provided in the embodiments of the present description are a data reclamation method and apparatus, a computing device and a computer-readable storage medium. The data reclamation method comprises: acquiring state indicators of a storage unit, the state indicators comprising a utilization rate indicator and a garbage data proportion indicator of the storage unit; according to the utilization rate indicator, determining a storage pressure level; acquiring a data reclamation pressure level classification policy on the basis of the storage pressure level, the data reclamation pressure level classification policy comprising a level classification parameter used for determining data reclamation pressure levels, wherein the higher a storage pressure level, the higher a data reclamation pressure level determined by the level classification parameter; according to the garbage data proportion indicator and the data reclamation pressure level classification policy, determining a data reclamation pressure level; and, on the basis of the data reclamation pressure level, predicting a data reclamation bandwidth of the storage unit. The present disclosure ensures the rationality of data reclamation bandwidth setting, thus remarkedly improving the data reclamation performance and the read-write performance.

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 discloses a hydraulic power plant automatic debugging system with a self-adaptive communication function. The system comprises a processing unit, a storage unit, a communication module, an input / output interface, a task classification module, a model architecture configuration module and other functional modules. The use method comprises the following steps: analyzing task complexity and high-dimensional features of input data through a task classification module, and grading by adopting algorithms such as principal component analysis and a support vector machine; the model architecture configuration module is used for matching a model architecture according to the complexity level and determining an initial calculation path; the dynamic path adjustment module optimizes a calculation path in combination with real-time data, and the resource distribution module redistributes resources when the calculation power exceeds the limit; the model compression module generates a compression model adaptive to the edge device through pruning and quantization algorithms; the parameter fine tuning module is used for jointly optimizing model parameters for a multi-task scene; according to the method, the adaptability and efficiency bottleneck of an existing debugging tool in a complex scene is effectively solved, and the intelligent debugging level of an automatic system of a hydraulic power plant is improved.

The invention discloses a processor, a chip product, computer equipment and a tensor calculation method, and relates to the technical field of processors. A first tensor is stored in a first storage unit of the processor; a plurality of scaling factors corresponding to the first tensor are stored in a second storage unit of the processor, the scaling factor set comprises a plurality of scaling factors, each scaling factor corresponds to one sub-block in the first tensor, each sub-block comprises at least one element in the first tensor, and each sub-block comprises at least one element in the first tensor; the scaling factor is used for adjusting the dynamic range of each element in the same sub-block; a tensor calculation engine of the processor is used for reading a first tensor from the first storage unit and reading a scaling factor set from the second storage unit; and for any sub-block in the first tensor, executing logical operation on elements in the sub-block according to the scale factor corresponding to the sub-block to obtain an operation result. According to the method and the device, the tensor calculation engine can realize accurate operation of the low-precision tensor through the scale factor of the sub-block granularity.

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.

To provide a game machine capable of suitably increasing convenience of a game machine.SOLUTION: It is determined whether a value of a credit storage part 213b is less than "1,000" when a player turnably operates a shooting handle 51 while a credit shift button 42 is being depressed continuously, and ball feed processing by a ball feed unit 112c is permitted following turnable operation of the shooting handle 51 and shooting of balls by a ball shooting unit 112a is permitted while a prescribed number of holding ball data or larger are present. In the meantime, when it is determined that a prescribed number of holding ball data or larger are not present by the determination, ball feed processing by the ball feed unit 112c is restricted even if the shooting handle 51 is operated turnably, and delivery of balls to a side of the ball shooting unit 112a is suppressed.SELECTED DRAWING: Figure 11

A storage and retrieval system employing a gridded three-dimensional storage structure features workstations served by the same robotic vehicle fleet that serves the storage structure, travel-through workstations using the same robotic vehicles to carry storage units through the workstation without hand-off to any other conveyor or handler, internal sortation using orchestrated navigation of the robotic vehicles to workstation intake points, sensors on the robotic vehicles to confirm proper loading and alignment of storage units thereon, lifting mechanisms for raising the robotic vehicles into shafts of the gridded three-dimensional storage structure from a lower track thereof, use of markers and scanners to align the robotic vehicles with the grid shafts, and workstation light curtains for hand safety, pick-counting and container content protrusion detection.

The invention provides a modularized integrated circuit unit and a distributed storage unit access method and system, and the modularized integrated circuit unit comprises at least one memory controller which sends a storage address access request to a storage unit; the at least one storage unit provides unified memory access for the storage address access request, and the storage unit comprises a local storage unit and a virtual far-end storage unit; the at least one computing unit initiates a storage address access request; and the at least one internet-on-chip is used for interleaving the storage address indicated by the storage address access request, generating interleaved storage address distribution, determining a corresponding target storage unit, and storing the target storage unit by setting a local storage unit and a virtual far-end storage unit. Uniform address access and load balancing of the distributed storage units on the modularized integrated circuit units are achieved through the address interleaving technology and the virtual storage mapping, the resource utilization rate is increased, and the performance and usability of the distributed storage system are improved.

To load compacted memory between a system memory and a local data share (LDS), a processing system includes an accelerator unit (AU) connected to a memory unit. The memory unit is configured to identify that compacted data in the system memory is to be written to elements of an LDS based on two or more compaction masks. The memory unit is configured to then determine sources within the memory from which to load compacted data into the elements of the LDS by determining pre-fix sums based on the two or more compaction masks. The memory unit is configured to then load the compacted data from the identified sources to corresponding elements of the LDS.

The invention relates to a built-in self-test circuit and a memory. The built-in self-test circuit comprises a storage array, a command / address generation module, a processing module and a repair module. After entering the self-test mode, the command / address generation module generates and sends an internal test command and an internal test address according to a preset test mode. The processing module writes preset data into a storage unit corresponding to the internal test address in the storage array according to the internal test command and a preset test mode, and reads storage data from the storage unit corresponding to the internal test address in the storage array; and generating and outputting a fault mark according to a comparison result of the storage data read each time and the corresponding written preset data. And the repairing module latches the internal test address corresponding to the currently read storage data as an error address according to the fault mark, and repairs the storage unit corresponding to the error address after the self-test mode exits. According to the invention, internal automatic detection and automatic repair can be realized.

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 relates to the technical field of solid state disk security protection, in particular to a security protection detection method and system for a solid state disk, and the method comprises the following steps: obtaining a historical security monitoring log of the solid state disk, carrying out normalized fluctuation rule mining and reference behavior evolution, and constructing a normalized reference behavior model; identifying real-time access behavior data of the solid state disk; analyzing access modes of behavior storage units one by one according to the real-time access behavior data, and identifying real-time access behavior characteristics to generate real-time access behavior characteristics; and performing reference access deviation detection on the real-time access behavior characteristics according to the normalized reference behavior model, tracing an access position, and positioning a malicious access storage unit. Through a multi-layer and all-around intelligent protection system, the overall safety and stability of the solid state disk are improved.

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.