391 results about "Central processing unit" patented technology

The invention discloses a mobile phone anti-theft system and method based on a camera and a GPS (Global Position System) of a mobile phone. The mobile phone anti-theft system comprises a mobile phone CPU (Central Processing Unit), a microprocessor, a camera driving module, an input module and an unlocking detection module, wherein the input module is connected with the unlocking detection module; the unlocking detection module is connected with the mobile phone CPU; and the mobile phone CPU is connected with the camera driving module through the microprocessor. Compared with the prior art, the mobile phone anti-theft system and method provided by the invention have the advantages as follows: an unlocking operation is carried out when the mobile phone is used after the mobile phone is lost or stolen, and a background operation program which is installed in the mobile phone is triggered and started when the unlocking operation is inaccurate; and a user who currently uses the mobile phone is positioned and photographed through a GPS module and the camera of the mobile phone; meanwhile, obtained information is sent to a mailbox or other addresses which are specified by the user in time, so that the user is convenient to alarm and can find the mobile phone back accurately in time, and the problems of the mobile phone loss and personnel information release of the user can be solved.

This invention provides an eFuse control device and method. The method includes: the eFuse control device receiving eFuse-based programming instructions sent by an external accessor, the programming instructions including read operation instructions and write operation instructions; the external accessor including a central processing unit and a CP test machine; the eFuse control device, based on the programming instructions and reading corresponding information values ​​from the eFuse memory, determining whether to perform corresponding read / write operations on the eFuse memory based on the information values, and returning corresponding data and status information; the information values ​​include: an enable control word stored in the control group area of ​​the eFuse memory. This method effectively improves the flexibility of data management in the eFuse memory while ensuring the security of data in the eFuse memory.

This application relates to the field of riot control devices and discloses an innovative multifunctional riot shield, specifically for police equipment. The riot shield includes a shield body, an auxiliary support assembly, a dispersing assembly, and a control assembly. The front surface of the shield body has an observation window; the auxiliary support assembly connects the user's upper arm to the shield body to distribute the weight of the grip; the dispersing assembly is located on the inner wall of the shield body and, through a central processing unit, controls a micro-pump to spray the medium from the gas cylinder outwards via a transmission pipe. The device features a linkage locking assembly; pressing the unlock button moves the unlocking plate, and the protrusion drives the locking buckle and the moving sleeve to move downwards synchronously, simultaneously releasing the lock between the central processing unit and the gas cylinder; in conjunction with the torsion spring structure of the rotary joint, the gas cylinder automatically tilts outwards and pops out after unlocking. This invention achieves active dispersing and identity verification control of the riot shield, and also features rapid gas cylinder replacement and ergonomic auxiliary support functions.

The present application relates to the technical field of computers. Disclosed are a server fault information recording method and apparatus, and a computer device and a storage medium. The method comprises: in response to determining that a preset number of fault information recording requests sent by a basic input / output system have been received, creating a target task corresponding to the fault information recording requests, wherein the target task is used for recording fault information corresponding to the fault information recording requests; and sending to the basic input / output system a processing result corresponding to the fault information recording requests, and executing the target task to complete fault information recording, wherein the processing result is used for instructing the basic input / output system to control a central processing unit to exit a preset mode and resume processing service data. Thus, the problems of increased network jitter and response delay of servers caused by server performance degradation resulting from the recording of fault information of CEs are solved.

The application discloses a kind of method and device that SSD control chip self-adapting abnormal stop IO, it is related to SSD technical field, comprising: obtaining the fatal error interrupt signal generated by multiple function modules in SSD control chip, global stop flow enable signal is generated by hardware logic circuit;In response to this signal, synchronously control host interface side stops transmitting data to host, and control flash interface side stops reading and writing NAND flash to erase operation.By pure hardware circuit, the fast convergence of error signal and the generation of global stop flow instruction are realized, the extremely fast response of nanosecond to microsecond level is achieved, and the defect of large delay of software dependent scheme is fundamentally overcome.Two ends stop flow are triggered synchronously using single enable signal, the atomicity and cooperativity of operation are ensured, and the risk of data inconsistency is eliminated.The mechanism is independent of central processing unit and firmware operation, and can still be independently and reliably executed in the extreme case of core component failure, significantly improving the data integrity and system reliability of SSD.

The application discloses a warehouse environment risk real-time monitoring and intelligent prevention and control system and relates to the technical field of warehouse safety, which comprises a multi-source heterogeneous sensor network, a data transmission module and a central processing unit arranged in a warehouse area; the multi-source heterogeneous sensor network and the central processing unit realize data interaction through the data transmission module; and the central processing unit generates initial continuous distribution of all physical fields through a normalized general potential conduction interpolation algorithm. Through the normalized general potential conduction interpolation algorithm, the application fuses spatial anisotropy and multi-physical field coupling effects, accurately reconstructs discrete sensor data into a full-space continuous physical field, and eliminates a monitoring blind area; based on physical field quantitative risk evolution, early hidden danger identification and hierarchical intelligent prevention and control are realized, and the accuracy of warehouse environment risk monitoring and the timeliness of prevention and control are significantly improved.

The application discloses a reconfigurable processor and an execution method fusing neuromorphic and general computing, and comprises a total control module and an on-chip network module, wherein the on-chip network module comprises a control module, a pulse storage module, a weight storage module, a pulse time module, a LIF neuron module and a classification comparison module. The execution method comprises the following steps: acquiring an input data set; selecting a working mode of the on-chip network module according to the input data set; and performing data recognition processing on the input data set according to the working mode, and outputting a data recognition output result. The application realizes the working of a central processing unit (CPU) and a spiking neural network (SNN) in a single core, thereby improving the utilization rate of a heterogeneous core and reducing the delay of core-to-accelerator communication. The application can be widely applied to the technical field of neural network accelerator as a reconfigurable processor and an execution method fusing neuromorphic and general computing.

The application relates to the technical field of robots, and discloses an AI vision positioning method and system for robot automatic assembly, which comprises a composite perception system, an active physical excitation module and a central processing unit; the composite perception system is integrated with a polarization camera, a thermal imager and a structured light projector; and the central processing unit is internally arranged with a physical causal decoupling network and a health state manifold model. The method comprises the following steps: in an offline stage, a physical characteristic enhanced point cloud of a standard part is collected through a detection, excitation and response protocol, so as to train the physical causal decoupling network and construct a health state manifold representing the state of qualified materials; in an online stage, the state of a material to be assembled is diagnosed, and an expected process path connecting the current state and the target state is generated on the manifold. The application solves the positioning and control problems in complex scenes such as high reflectivity and transparency, and realizes high-precision in-situ closed-loop assembly.

This invention relates to the field of unmanned aerial vehicle (UAV) flight control technology, and discloses a method for adaptive adjustment control of UAV flight attitude. Addressing the problems of unstable flight and untimely or inaccurate attitude adjustment of UAVs in complex weather conditions and variable terrain, this method deploys multiple types of sensors on the UAV to collect flight data in real time, including information such as air pressure, wind speed and direction, and attitude angles, and transmits the data to a central processing unit (CPU). The CPU analyzes and processes the data based on a preset algorithm model. When it detects a deviation in flight attitude from a set value, it automatically adjusts the UAV's rotor speed, wing angle, and other actuators to achieve rapid adaptive adjustment of flight attitude. This method effectively improves the flight stability and reliability of UAVs in complex environments and can be widely applied in fields such as aerial surveying, material delivery, and environmental monitoring, ensuring efficient and safe operation of UAVs.

This invention provides a task scheduling method, system, terminal device, and medium for electricity meters. The method includes: determining the type of each application of the target electricity meter; obtaining the total time slice to be allocated to all applications; wherein the application types include system applications, business applications, and container applications, and container applications include subroutines; allocating time to each application based on the total time slice according to the application priority, to obtain a first time slice for each application; allocating time to each subroutine based on the first time slice of the container application according to a preset execution time ratio, to obtain a second time slice for each subroutine; and controlling the central processing unit to execute the tasks and subroutines in each application sequentially according to the allocation results of the first and second time slices. This can improve the task processing efficiency of the electricity meter.

A mobile power station is disclosed. The mobile power station includes an enclosure supported by a wheeled chassis; an electrical system positioned in the enclosure, the electrical system including an electrical storage unit configured to receive and supply electric energy; and a central processor configured to monitor a condition of the mobile power station and provide alerts to a user.

A passively-cooled personal computer includes a housing, a motherboard disposed within the housing, a central processing unit (CPU) mounted on the motherboard, and a passive cooler thermally coupled to the CPU. The passive cooler includes a plurality of heat pipes and at least one set of stacked fins. The heat pipes extend through the fins and transport heat from the CPU to the fins. The set of stacked fins has a large cross-section in a horizontal plane and a small cross-section in a vertical plane.

Systems and methods may include bus monitoring hardware logic, where that bus monitoring hardware logic may monitor signals on one or more buses of processing unit, such as a central processing unit (CPU). Security logic may associate portions of code with code segregation units, such as links, stacks, and zones. Gating logic in the bus monitoring hardware logic may then enable or disable a monitoring function for a read or write access request based upon a link, stack, or zone identity associated with the piece of code making the read or write access request.

A signal processing device and a vehicle display device comprising same, according to one embodiment of the present disclosure, comprise: at least one neural processor; and a central processor for controlling the neural processor, wherein the central processor divides an artificial intelligence model to be executed in the neural processor into a plurality of groups and controls execution or suspension of the respective groups. Therefore, the neural processor can be efficiently operated.

This invention relates to the intersection of edge computing and agricultural data processing, and discloses a real-time agricultural data processing system based on edge computing. The edge gateway collects multi-source agricultural sensor data in real time and monitors the utilization rate of the local central processing unit and memory. When the utilization rate exceeds a preset threshold, the modal labels and spatiotemporal attributes of the agricultural data are extracted. A multimodal hierarchical dimensionality reduction operator is invoked to extract local texture features of grid blocks for image-type data and rate of change features for time-series meteorological and soil data. The dimensionality-reduced features are input into a lightweight cross-attention network to output a local agricultural data representation vector. This invention constrains the computational load of multimodal fusion within the available computing power of the edge gateway, overcoming the problems of computational resource exhaustion and thread blocking in scenarios with limited computing power, and realizing local real-time anomaly detection of agricultural data.

This invention relates to a system and method for calibrating energy meters, designed to enhance the accuracy of electrical power measurements. The system incorporates a computing device with specialized calibration software, interfaced with multiple energy meters via a network switch. Each energy meter is equipped with a CPU and DSP, facilitating precise phase angle measurements. A configurable three-phase reference source, connected via power cables, supplies standard calibration signals to the meters. The DSP measures phase angles based on calibration commands triggered by control signals received by the CPU. These measurements are then transmitted to the computing device, which calculates necessary offset corrections. The corrections are subsequently communicated back to the CPU for adjustment of the energy meters' analog-to-digital converter settings, thereby ensuring the meters' outputs are accurately aligned with calibrated standards. This system provides a robust framework for reliable, high-precision energy meter calibration.

The utility model discloses a visual education robot, including robot base, the top of robot base is equipped with upper layer board, middle layer board and lower layer board, and the first stand is connected between upper layer board and middle layer board, and the second stand is connected between middle layer board and lower layer board, and the third stand is connected between lower layer board and robot base, and the top of upper layer board is equipped with first steering wheel, and the first steering wheel is equipped with camera unit, and the first stand is equipped with second support, and the second support is equipped with display unit, and the middle layer board is equipped with loudspeaker and emergency stop switch, and emergency stop switch is electrically connected with walking mechanism, and the robot base is equipped with central processing unit electrically connected with walking mechanism. The education robot realizes the single operation function of each functional part on the robot through the use of the robot operation programming program, and the operation of each functional part brought by the simulation program is perfect, and the practicability is strong.

This invention relates to the field of bioinformatics processing and medical laboratory data analysis, specifically a method for classifying hepatitis B antibody patterns based on plasma protein profiles. The method includes: acquiring host hardware information of the execution environment and extracting central processing unit (CPU) cache parameters; acquiring a high-dimensional sparse one-dimensional array and extracting non-zero feature indices; performing mapping calculations using a locality-sensitive hashing (LSH) algorithm to reconstruct the data into a locally dense two-dimensional matrix; dynamically segmenting the data into independent sub-blocks according to cache parameters and initial segmentation dimensions; performing low-rank tensor decomposition on the independent sub-blocks to extract local latent feature vectors; concatenating the sub-blocks, weighting them through a single-layer attention network, and inputting the result into a classifier function to output a target classification pattern vector; and generating dimension update instructions based on a preset dynamic adjustment mechanism to adjust subsequent segmentation dimensions. This invention achieves lower memory peaks, higher cache hit rates, and stable multi-label pattern output capabilities.

Disclosed in the present invention are a self-supervised image denoising method and system. The method comprises: by means of an input interface, acquiring a noise image and transmitting same to a memory; configuring, in the memory, a search space based on a U-Net framework; a graphics processing unit reading configuration information, executing coarse-grained population initialization on the basis of a decimal modular encoding strategy, and writing population data into the memory as a contiguous memory block; the graphics processing unit executing distance-guided parent selection and modular crossover and mutation operations in parallel; decoding offspring individuals into network structures, then executing self-supervised denoising processing in parallel, and calculating PSNR values; and a central processing unit executing environment selection and controlling an iteration process, finally selecting an optimal network structure, and outputting a denoised image. By means of the optimization of search space design and the collaboration of heterogeneous computing architectures, the present invention simultaneously realizes high-quality image detail restoration and efficient denoising processing, without requiring paired data.

A system, processing apparatus, and method of operation of a processing apparatus are disclosed. The system includes a central processing unit, a first processing apparatus, and a second processing apparatus, and the first processing apparatus: (i) reads raw data from a first memory, (ii) reads pre-processing information from a first base address register, (iii) performs a pre-processing operation on the raw data using the pre-processing information to generate result data, and (iv) transfers the result data to the second processing apparatus without going through an external processor.

This disclosure provides a method, apparatus, electronic device, and storage medium for displaying page data, relating to the field of computer technology, and particularly to the field of big data. Page data is used to display on a page, and the page deploys at least two data blocks. Each data block represents a portion of the page data to be displayed. Specifically, in response to a display command, the display identifier of the data block is retrieved; wherein, the display identifier indicates whether the data block is displayed on the page; the display identifier is determined based on the resource usage and display priority of the data block, where resource usage represents the CPU usage when the data block calls the CPU, and display priority represents the importance of the data block on the page; according to the display identifier of the data block, the corresponding portion of the page data is displayed on the page. This disclosure achieves fast page display by determining the display identifier of the data block, improving the display efficiency of page data.

The application discloses a kind of transmission shaft drop-off automatic brake device and system in heavy truck parts technical field, including power assembly, power assembly end rotational speed sensor, transmission shaft, anti-grounding hanger, drive axle end rotational speed sensor, drive axle, central processing unit and solenoid valve;The anti-grounding hanger is installed on vehicle frame and located below transmission shaft;The application is by setting power assembly end rotational speed sensor in power assembly end, setting drive axle end rotational speed sensor in drive axle end, and by central processing unit to the rotational speed signal of two ends is handled, when detecting that transmission shaft operating state is abnormal, by solenoid valve control vehicle braking system brakes, simultaneously setting anti-grounding hanger located below transmission shaft on vehicle frame, to realize the monitoring of vehicle transmission shaft operating state, brake control and to the structure limit of transmission shaft position.

A method implemented at one or more base stations for a power management of the one or more base stations in a wireless communication network is disclosed. The method includes transmitting, by the one or more base stations, a plurality of Key Performance Indicator (KPI) parameters associated with the one or more base stations to a federal server controller. The method includes receiving, by the one or more base stations from the federal server controller, a KPI relationship predicting a future load based on the plurality of KPI parameters associated with the one or more base stations. The method includes adjusting, by the one or more base stations, a Central Processing Unit (CPU) frequency associated with the one or more base stations autonomously based on the KPI relationship for managing the future load associated with the one or more base stations.

A new intelligent drilling sample pool of downhole equipment for drilling sample pool, including sample pool main body, upper impeller system, lower impeller system and detection device, sample pool main body upper end installs central processing unit, central processing unit control signal control element in device, the liquid passage is longitudinally opened in the sample pool main body, the liquid passage upper side extends upward, the liquid passage upper side is sample pool entrance, the liquid passage lower side is sample pool outlet, the upper layer horizontal left side of sample pool main body is opened upper impeller cavity, upper impeller system is horizontally installed in upper impeller cavity;The upper layer horizontal right side is opened piston cavity, piston cavity is communicated with side wall, detection device is installed in piston cavity upper end, lower impeller system is installed in lower impeller cavity, the intelligent detection of central processing control device signal control element is carried out in the application, the problem of difficult extraction of uplink oil-based drilling fluid is solved, the distance difference and time difference problem of sample liquid from downhole to ground and then detection is optimized, and drilling efficiency is improved.

The application discloses a kind of shallow slot fermentation intelligent overturning control method based on multi-sensor cooperation, S1, position adjustment: starting first motor and second motor drive material conveying vertical cylinder, adjust the position of material conveying vertical cylinder inside fermentation shallow pool;S2, environmental monitoring: drive electric telescopic rod to push material conveying vertical cylinder and conical seat down, so that temperature sensor, humidity sensor and density sensor monitor material, the present application relates to shallow slot fermentation technical field.The shallow slot fermentation intelligent overturning control method based on multi-sensor cooperation, by installing conical seat at the bottom of telescopic pressure rod, and temperature sensor, humidity sensor and density sensor are respectively installed on the surface of conical seat, use in conjunction with central processing unit, the setting of these structures, material conveying vertical cylinder can be used to drive conical seat to move, then descend and carry out point position monitoring, so as to directly know the temperature, humidity and density data of different positions, use central processing unit to process.

The application discloses a kind of multi-source fusion perception systems for exoskeleton robot, belong to robot technical field, system includes:foot bottom pressure acquisition module, is laid in exoskeleton foot component;Inertial measurement module, is laid in exoskeleton limb bar piece;Motor feedback module, is integrated in exoskeleton driving joint;Central processing unit is connected with each module, for receiving and processing multi-source data, method includes: by foot bottom pressure dynamic threshold algorithm real-time determination gait switching point;Fusion inertial measurement data and motor feedback data, carry out limb posture solution and man-machine interaction moment estimation;Based on the redundancy check of multi-source data realizes fault monitoring and safety control.The application solves the problems of high gait recognition delay, poor environmental adaptability and insufficient man-machine interaction transparency in the prior art through deep coupling and synchronous perception of mechanical and kinematic data, and realizes accurate, robust and real-time perception of the wearer's movement intention.

In the described example, the coherent memory system includes a central processing unit (CPU) and level 1 and level 2 caches. The CPU is configured to execute program instructions (1000) to manipulate data in at least a first or second security context. Each of the first and second caches stores (e.g., 1050) a security code indicating the at least first or second security context through which data of a corresponding cache line is received. The level 1 and level 2 caches maintain coherence by comparing (1020) the security code of the corresponding cache line and performing a cache coherence operation (1030) in response.

This invention relates to the field of automotive embedded technology, and discloses a method, device, chip, and storage medium for virtualizing onboard computing power in engineering machinery. It is applied to an onboard main control chip, which includes a main computing power module and a computing power expansion module. The main computing power module includes a central processing unit and a core computing power unit, while the computing power expansion module includes multiple extended computing power units. The method includes: acquiring computing tasks from microservice software running within the central processing unit; allocating target computing power resources from the core computing power unit or multiple extended computing power units according to a preset computing power allocation queue; and calling the target computing power resources to execute the computing tasks. This invention virtualizes onboard computing power through the main computing power module and the computing power expansion module, enabling unified scheduling and management of computing power resources. It supports elastic expansion of computing power, flexibly meeting the computing power requirements of different levels of intelligent driving and operational scenarios, supporting service-oriented software development, and increasing the flexibility of software and algorithm development.

This invention relates to the field of CPU heat dissipation, and more particularly to a high-efficiency CPU heat dissipation structure and method, comprising a frame assembly, auxiliary components connected to the frame assembly, a heat dissipation assembly connected to the frame assembly, and a protective assembly connected to the frame assembly. This invention provides efficient heat dissipation under different load conditions through contact air cooling and liquid circulation cooling. The heat dissipation assembly's vapor chamber rapidly and evenly diffuses the heat generated by the central processing unit and transfers it to the heat-conducting fins. Stacked fins formed by thin metal sheets, along with directional airflow generated by a first cooling fan, effectively remove heat from the air, achieving rapid heat dissipation. The cold head transfers heat to the circulating medium, which then flows through a radiator with multiple internal water channels. A second cooling fan powerfully blows air across the surface of the radiator, efficiently dissipating heat from the cooling medium to the external environment, thus ensuring continuous heat dissipation.

The application discloses a charging control circuit and equipment. The circuit comprises a first parallel charging module, a second parallel charging module and a power management module connected with a power socket. The power management module is connected with a charge pump module through an NMOS tube N1, and the power management module is connected with a battery through an NMOS tube N2. The circuit further comprises a central processing unit for controlling the NMOS tube N1 and the NMOS tube N2, and a power identification module connected with the central processing unit. The design scheme of the two charging powers compatible with each other is realized, the cost is saved, the product function richness is increased, and the user demand that the extreme pursuit of the charging rate and the comprehensive control performance of the mobile phone temperature rise are balanced is solved.