62results about How to "Efficient execution" patented technology

The embodiment of the invention discloses a breakpoint continuous migration method and device for heterogeneous database distributed migration and a medium, belongs to the technical field of heterogeneous database migration, and solves the problems that after heterogeneous database migration is abnormally terminated, the whole migration process is usually restarted, resources are calculated, and the total migration time is prolonged. Comprising the steps that a system service node carries out persistence on migration execution information, and a migration service node carries out persistence on execution task information; in response to abnormal interruption of the system service node and / or the migration service node, after the system service node and / or the migration service node are / is recovered, the system service node determines a completed execution task and an uncompleted execution task based on the persistent migration execution information; starting a breakpoint continuous migration process, and redistributing the determined uncompleted execution task to a migration service node by the system service node; and the migration service node checks whether an uncompleted execution task is completed or not based on the execution task information, and returns an execution result to the system service node.

The present application relates to a kind of laser radar and camera online self-calibration method and system without induction, the method includes: S1.in the process of vehicle driving, through multi-source trigger mechanism acquisition laser radar point cloud data and camera image data, simultaneously obtain vehicle motion state information and automatic driving perception system output result, the multi-source trigger mechanism includes time trigger, event trigger and cloud data mining trigger parameter degradation model;S2.the pre-processing and feature extraction of the multi-source data collected, obtain laser radar point cloud feature and camera image feature;S3.based on geometric constraint, motion consistency and perception result fusion, constructs multi-modal verification model, and carries out multi-dimensional verification to calibration parameter.The present application not only reduces the artificial maintenance cost, through automatic means maintenance vehicle state to achieve sensor calibration parameter degradation self-detection and self-calibration without induction, and improves the reliability and attendance rate of automatic driving vehicle.

The embodiments of the present application provide a method for manufacturing a semiconductor structure, comprising: successively forming a target layer, a first mask layer, an isolation layer and an intermediate layer on a substrate, the intermediate layer in a first zone having at least one first recess, and the intermediate layer in a second zone having at least one second recess; forming filling layers, the filling layers filling the first recess and the second recess, the upper surfaces of the filling layers being higher than the upper surface of the intermediate layer, and the height difference between the top surface of the filling layer on the first zone and the top surface of the filling layer on the second zone being less than or equal to a first preset value; performing a maskless dry etching process to remove a part of the filling layer on the first zone until the top surface of a sacrificial layer is exposed; removing the sacrificial layer covering a side wall of the first recess so as to form a first opening on the first zone; and etching a part of the target layer by using the first opening, the remaining target layer constituting a target pattern. The embodiments of the present application are conducive to completely etching a target layer to form a required target pattern.

This application proposes a method, apparatus, electronic device, and storage medium for arranging vector elements. The method includes: acquiring vector elements to be processed, and determining the levels of each switching node (SN) unit in a butterfly network based on the number of vector elements to generate the butterfly network; wherein the butterfly network is used to arrange the vector elements; determining the input-output mapping relationship between the levels of each switching node (SN) unit in the butterfly network; determining the target state of the SN unit in each level based on the input-output mapping relationship; arranging the vector elements based on the target state, and performing data processing based on the arranged vector elements. Therefore, this scheme enables the arranged vector elements to be transmitted non-blockingly in the butterfly network, thereby enabling the mapping of complex and variable large model workloads onto vector hardware to achieve efficient data processing execution.

The application discloses an AGV task compiling and script executing method based on an RDS scheduling system, and relates to the technical field of AGV scheduling. The method comprises the following steps: a task compiling unit and a script configuration unit are built in the RDS scheduling system, and a visual interface and a script language are provided as two operation modes; a running script containing a task allocation sub-script, a driving control sub-script and an exception handling sub-script is compiled through the script configuration unit; the compiled task and the running script are subjected to syntax checking and parameter matching checking, and are stored in a task database after the checking; the RDS scheduling system calls the task and the corresponding running script in the task database, generates executable instructions and sends the executable instructions to a target AGV, the AGV analyzes the task logic according to the running script, completes the task execution and feeds back the execution state. The application can realize flexible configuration of AGV tasks, high adaptation of scripts and tasks and efficient execution of complex tasks, and improves the adaptability, execution efficiency and reliability of the scheduling system.

The invention provides a multi-mode collaborative lithium battery protection circuit control method. The method comprises the following steps: acquiring voltage, current and surface temperature of a battery pack and a relay state signal in real time, and constructing a standardized time sequence tensor through preprocessing; inverting the core temperature of each single battery based on an electricity-heat-aging coupling model; the aging rate index is dynamically calibrated by combining the joint extended Kalman filtering and the real-time core temperature; a dynamic adjacency matrix is constructed through voltage correlation and temperature gradient, and a topological weakness risk is identified by using a lightweight graph convolutional network; according to the core temperature, the aging index, the risk score and the SOC difference, a protection mode is dynamically switched in a multi-mode logic state machine, and a control instruction is generated; and finally, the time sequence of a power tube is adjusted through PWM phase compensation, and a distributed model prediction control algorithm is adopted to drive an equalization circuit, so that lithium battery system protection with safety, service life and performance collaborative optimization is realized.

The application provides a kind of based on visual detection's sports glasses dimming film evaluation method and system, it is related to sports glasses manufacturing technical field, its technical solution main point is: by obtaining positioning map, determine clamping offset and correct, convert image to uniform lens coordinate, compare the candidate abnormal area in different images and determine its stability, finally mark effective feature and determine evaluation result, effectively solve the problem that visual information is unstable in prior art due to clamping deviation and observation condition change, ensure the objectivity and accuracy of evaluation result, have by clamping offset correction and image coordinate uniform, effectively eliminate the visual information fluctuation caused by clamping deviation and observation angle change, ensure that visual information accurately reflects the real state of film, thereby improve the objectivity and accuracy of evaluation result.

A method of operation of a first apparatus (100) in a wireless communication system is proposed. The method can comprise the steps of receiving, from a base station (300), TDD-UL-DL configuration information comprising information related to a first slot pattern and information related to a second slot pattern; determining a value related to a granularity based on i) a periodicity of the first slot pattern, ii) a periodicity of the second slot pattern, and iii) a first subcarrier spacing related to SL communication; and transmitting, to a second apparatus (200), a physical sidelink broadcast channel (PSBCH) comprising information related to a first UL resource and information related to a second UL resource.

The invention provides a split type construction device for a groove pipeline and a construction method of the split type construction device for the groove pipeline, a spreading equipment vehicle and a tamping vehicle are independently moving equipment, and spreading equipment on the spreading equipment vehicle is used for spreading materials for a groove; a tamping device on the tamping vehicle tamps the materials in the groove; a clamping pipe butt joint device is arranged between the spreading equipment vehicle and the tamping vehicle, hoisting equipment is arranged at the two ends of the clamping pipe butt joint device, and the two hoisting equipment are slidably connected with sliding rails on one sides of the tops of the spreading equipment vehicle and the tamping vehicle correspondingly. The two vehicles realize macro and micro precise collaborative alignment locking based on a GPS and an infrared device; in the pipeline grabbing and butt joint stage, the system fuses laser radar three-dimensional point cloud and camera two-dimensional visual features, constructs a high-frequency three-dimensional geometric topology model through a heterogeneous bimodal space-time registration algorithm, and controls a hydraulic telescopic cylinder to act in combination with a self-adaptive rigid servo feedback closed loop. And the butt joint claw is guided to accurately anchor the old pipeline and stably push the new pipeline.

The application discloses a kind of quality intelligent evaluation methods and systems for multi-source medical data, it is related to big data processing technical field.The quality intelligent evaluation methods and systems for multi-source medical data, including S1, acquisition multi-source medical data is preprocessed, store and construct medical database;S2, drive the spatiotemporal semantic alignment and joint representation learning of cross-modal data, construct medical data optimization model and output spatiotemporal alignment value;S3, fusion spatiotemporal correlation and multidimensional quality index, data quality evaluation and abnormal analysis are carried out;S4, according to data credible result executes the traceability path generation and explainability report output operation;S5, through user feedback data and model evolution state analysis optimization effect.It solves the problem that multi-source medical data exists in spatiotemporal alignment, quality evaluation and abnormal detection, spatiotemporal mismatch, data inconsistency and low quality repair efficiency.

The invention provides a conference room water cup water replenishing strategy optimization method and system based on reinforcement learning, and relates to the technical field of intelligent services, and the method comprises the steps: obtaining the liquid remaining amount feature and the spatial position feature of a container in a target space, and constructing a state representation vector to represent the incidence relation between the two features; predicting the liquid consumption trend of each container in the target time window through the time sequence analysis model to obtain a demand prediction result; inputting the state representation vector and the demand prediction result into a reinforcement learning strategy network, and based on the multi-container liquid residual amount distribution state and the prediction consumption trend, generating a decision sequence containing a supplement priority and a supplement opportunity by optimizing a long-term accumulation reward function; and dynamically adjusting the supplementary execution sequence of each container according to the supplementary priority in combination with the available supplementary resource constraint, and generating and executing a supplementary execution scheme. According to the invention, intelligent optimization of the water replenishing strategy is realized through reinforcement learning, and the resource utilization efficiency and the service quality are improved.

The application relates to a method and device for detecting an upper-layer link of a content distribution node, and a computer device, and is applied to a first node server in the content distribution node. The method comprises the following steps: obtaining link information of an upper-layer link in response to a detection request of the upper-layer link of the first node server; calculating a first hash value of first hash value input data; obtaining a second node server on a consistent hash ring on the basis of the first hash value, the consistent hash ring being obtained on the basis of node servers in a normal state in the content distribution node where the first node server is located; sending the detection request of the upper-layer link to the second node server, so that the second node server detects the upper-layer link on the basis of the detection request; and receiving a detection result of the detection of the upper-layer link by the second node server. The method can improve the detection efficiency.

The invention discloses a self-adaptive resistance adjusting system and method based on real-time breathing performance, and relates to the technical field of breathing machine control, the system comprises a hardware layer used for uploading breathing data collected in real time to a control layer, receiving a logic instruction issued by the control layer, converting the logic instruction into an executable physical action, and sending the physical action to the control layer; self-adaptive resistance adjustment and multi-mode guiding tasks are executed, and bidirectional data interaction is achieved; the control layer is used for receiving the respiration data transmitted by the hardware layer, evaluating a real-time physiological status portrait of the user in a multi-dimensional manner by combining various data tables provided by the data layer, and generating a personalized dynamic training strategy packet; and the data layer is used for establishing a dual-storage architecture of local storage and a cloud database and storing data parameters of various data tables. The method effectively reconciles the core contradiction between training safety and training efficiency, avoids the defects caused by excessive conservative or aggressive performance, and breaks the limitation of decision lag and static evaluation of a traditional system.

The application discloses a kind of flight platform cluster's track planning method and device, the method includes: collection obtains task demand information set and flight platform cluster technical index information set;The task demand information set includes the execution position and demand information of each to be executed task;The demand information includes demand task type information and the demand value of all technical indexes;The flight platform cluster technical index information set includes the execution task type information, position information and technical index value set of each flight platform;The technical index value set includes several technical index values;The task demand information set and flight platform cluster technical index information set are preprocessed, and obtain preprocessed information set;The preprocessed information set is subjected to track planning processing, and obtains the track set of flight platform cluster.

The invention discloses a large model training and reasoning-oriented containerized operation method and computing equipment, and the method comprises the steps: receiving a training starting request or reasoning starting request for a large model, and determining a training parameter corresponding to the training starting request or a reasoning parameter corresponding to the reasoning starting request; for the training starting request, creating a trainer instance and introducing training parameters, starting a training container through the trainer instance based on the training parameters, and running a training program through the training container so as to execute a large model training task based on the training program; and for the inference starting request, creating an inference device instance and transmitting inference parameters, starting an inference container based on the inference parameters through the inference device instance, and running an inference program through the inference container so as to execute a large model inference task based on the inference program. On the basis, training and reasoning tasks of the large model can be efficiently and conveniently executed in a containerized environment, and an embeddable containerized operation capability can be provided for a model development platform, so that other platforms can conveniently and rapidly integrate the development capability of the large model.

An object of the present invention is to perform communication by using a sub-channel in a wireless local area network system, and a method for operating an access point (AP) comprises the steps of: detecting that another device other than a station (STA) connected to the AP performs communication on a main channel; acquiring information related to a duration of performing the communication; switching the working channel from the main channel to the at least one sub-channel during the duration; transmitting or receiving data on the sub-channels; and switching the working channel to the main channel.

The application discloses a robot grabbing method and device, a computing device and a computer readable storage medium. The method comprises the following steps: obtaining joint state space information of a robot; inputting the joint state space information into a pre-trained reinforcement learning collaborative decision network; outputting chassis control instructions and mechanical arm grabbing instructions in parallel by the reinforcement learning collaborative decision network; controlling the movement of the mobile chassis according to the chassis control instructions, and controlling the mechanical arm to perform a grabbing action according to the mechanical arm grabbing instructions, so that the mobile chassis and the mechanical arm are controlled in parallel. In this way, the grabbing efficiency of the robot in a dynamic environment can be improved.

The application discloses a power distribution network power and communication coordinated recovery method, the method comprises the following steps: generating a base station-power joint feature vector of each associated group, inputting into a pre-trained joint risk assessment prediction model, and outputting a joint risk pair of the associated group, including power load value and base station repair difficulty; using the joint risk pair of the associated group, obtaining a plurality of work order areas and work order priority values thereof through a joint partition model, each work order area comprising at least one associated group, and generating a work order sequence in descending order of the work order priority values; based on each work order area in the work order sequence, adopting a multi-objective optimization distribution mechanism to output a resource distribution scheme of the work order area; and in sequence according to the work order sequence, sequentially traversing the resource distribution scheme of the work order area, and determining an optimal path of resources to the corresponding work order area based on the real-time state of the resources. Thus, the recovery capability and reliability of the power distribution network power and communication system in a disaster area are improved.

The present application relates to the technical field of edge computing, and particularly relates to a mine environment intelligent monitoring method and system based on edge computing, which comprises: collecting multi-dimensional environment data under a mine; dividing a mine space into multiple local spaces based on three-dimensional coordinates of each sensor under the mine; determining an abnormal state value of a local space in a preset time period by using multi-dimensional environment data of the local space in the preset time period; obtaining a first initial category center point by using the abnormal state value and multi-dimensional environment data of the local space in a previous time period; obtaining a second initial category center point by using multi-dimensional environment data of the local space in a subsequent time period; iteratively updating the first and second initial category center points by using a Mini-Batch K-Means algorithm to obtain a risk value of the local space; and performing mine risk early warning based on the risk value. The present application can improve the real-time performance of underground security.

The embodiment of the invention discloses a video clip generation method and electronic equipment. The method comprises the following steps: receiving an original video material submitted by a user and video creation demand information expressed through a natural language; respectively preprocessing the original video material and the video creation requirement; performing scene segmentation and picture content understanding on the key frame picture sequence through an AI image understanding model, and generating a video understanding result in a text format; reasoning the video creation requirement and the video understanding result through an AI language model, and generating a video editing scheme in combination with video editing knowledge; and determining a tool corresponding to the atomization task according to the video editing scheme, constructing required parameter information for the tool, and calling the tool to generate a target video. According to the embodiment of the invention, the efficiency and the commissioning ratio of video creative production can be improved.

The invention discloses a power Internet of Things terminal access parameter adaptive optimization method and system based on hierarchical reinforcement learning, and the method comprises the steps: carrying out the optimization modeling of a terminal access parameter into a hierarchical reinforcement learning decision process, and carrying out the access strategy selection and parameter fine-grained adjustment through a high-layer intelligent agent and a low-layer intelligent agent, and in combination with Monte Carlo sampling, simulation evaluation is carried out on a dynamic network environment, so that online adaptive optimization of access parameters of the terminal equipment is realized. In consideration of diversity and complexity faced by equipment access in an electric power internet of things system, the access parameters of the equipment are optimized in real time by dynamically analyzing the running state and service requirements of the terminal equipment and combining five modules including a sampler, a parameter judgment device, an object model state machine, a benchmark tester and a reward model. By adopting the method provided by the invention, challenges such as terminal large-scale access and heterogeneous network environment dynamic change in the power internet of things can be effectively handled, and the terminal access reliability, the network throughput and the communication efficiency are remarkably improved.

The invention discloses a data synchronization system based on design requirements. The data synchronization system comprises a system main thread and a plurality of work task threads started by the system main thread, wherein the system main thread is used for performing full life cycle management on the whole environment of the data synchronization system, loading, calling and releasing related resources and services, and starting, monitoring and destroying each work task thread; the work task thread comprises a design requirement list and a plurality of safety message queues, the design requirement list is used for circularly traversing each design requirement, a design requirement identifier and a design requirement name are added into the safety message queues, the safety message queues are used for monitoring respective message queue states, and once a data dictionary object is obtained, the design requirement identifier is added into the safety message queues; if yes, work task processing is carried out, and then results are written into a unified processing result queue; according to the method, efficient execution of research and development projects is guaranteed, design demand omission is avoided, and manufacturing on-time and high-quality delivery is greatly facilitated.

The application discloses a kind of computing resource scheduling method and system based on computing power network cluster, and the application relates to the technical field of computing power network cluster, according to the amount of calculation of multiple computing tasks, the node load state of multiple computing power nodes and resource scheduling system Determine the computing task matched by multiple computing power nodes, Ensure the matching accuracy of multiple computing power nodes to computing task.Therefore, according to the computing progress of multiple computing power nodes to computing task and the computing mode of multiple computing power nodes Determine the computing progress distribution diagram of computing power network cluster;According to the computing progress distribution diagram of computing power network cluster, the computing resource matched by each computing power node and the task state of multiple computing tasks Determine the optimization system of computing resource, and dynamically optimize the computing power of computing power node in computing process, based on the optimization system of computing resource Realize the further optimization of computing resource, improve the computing power of computing power node in computing process.

A method and apparatus for relay communication in sidelink are disclosed. A transmitting terminal operation method includes the steps of: performing a first relay communication with a receiving terminal through a first relay terminal; receiving a first message including a relay release indicator from the first relay terminal; setting a connection between the transmitting terminal and a second relay terminal when the first message is received; and transmitting a second message to the receiving terminal through the first relay terminal, the second message including a first relay setup completion indicator for indicating that the connection setup between the transmitting terminal and the second relay terminal is completed.

The invention discloses a photovoltaic power station multi-source fusion remote monitoring method and system based on a cloud platform, and relates to the technical field of photovoltaic power generation, and the method comprises the steps: deploying a plurality of data collection units at a target photovoltaic power station, collecting the multi-source operation data of the target photovoltaic power station in real time, uploading the multi-source operation data to a cloud data processing platform, and carrying out the fusion and correlation analysis, power generation performance deviation is identified, an abnormal cause is positioned, and a fault analysis result is generated; and generating a fault processing scheme according to a fault analysis result, and pushing the operation and maintenance work order to an operation and maintenance personnel terminal to execute field processing. The technical problems that the operation and maintenance efficiency is low and the power generation efficiency is limited due to the fact that operation and maintenance of an existing photovoltaic power station depend on manual inspection, the fault diagnosis period is long and the accuracy is poor are solved, multi-source fusion remote monitoring based on the cloud platform is achieved, real-time accurate diagnosis and quick response to faults of the photovoltaic power station are achieved, and the working efficiency of the photovoltaic power station is improved. And the operation and maintenance efficiency and the power generation benefit are improved.

Provided is a method for performing wireless communication by a first device and an apparatus supporting the method. The method may include: receiving first side-link control information (SCI) from a second device in a time slot, including information related to a resource reservation period; determining the size of a selection window based on a remaining packet delay budget; obtaining a value N by applying a ceiling function to a value obtained by dividing the size of the selection window by the resource reservation period; determining to reserve resources in N time slots spaced unit-intervals of the resource reservation period after the time slot in which the second device receives the first SCI; and selecting resources for SL communication within the selection window based on the determination, where N is a positive integer.

This application relates to a vehicle-side software architecture, a vehicle's electronic and electrical architecture, and a vehicle, falling under the field of vehicle technology. The vehicle-side software architecture includes a cross-domain service layer, an enhanced service layer, an atomic service layer, and a device abstraction layer deployed on the vehicle's area controller and communicating sequentially, as well as an electronic control layer that communicates with the enhanced service layer. The cross-domain service layer is used for communication between the area controller and other vehicle domain controllers. The enhanced service layer performs logical judgments on control request signal groups and transmits target control signals to the cross-domain service layer and the atomic service layer. The atomic service layer, based on the target component control service pointed to by the target control signal, calls the device abstraction layer to control the corresponding vehicle components to perform control functions. The device abstraction layer provides a standard abstraction of hardware interfaces to enable communication between components and the atomic service layer. The electronic control layer provides a standard interface for communication protocol interfaces to enable communication between components and the enhanced service layer. This approach is beneficial for improving the overall vehicle intelligence level and development efficiency.

The invention discloses a Yarn application process tree construction method and device and a storage medium, and relates to the technical field of Hadoop YARN resource management and monitoring. A method for constructing a Yarn application process tree comprises the steps that a monitoring program is started, and a monitor marks monitored application processes as different codes according to configuration; executing corresponding monitoring logic according to the code to obtain an application process tree construction result; the monitoring logic comprises a traditional global scanning construction mode, a single-process mode, a sub-process interface construction mode and an incremental updating mode. The method is simple in implementation mode and suitable for process monitoring and resource metering optimization of the node side of the YARN node-level resource manager, self-adaptive selection for different types of containers is achieved by introducing a multi-mode switchable monitoring framework, and resource waste and performance bottleneck caused by traditional fixed full scanning are avoided.

The invention relates to a technical management system (1) for orchestrating a plurality of technical components (12) of a technical system (10), wherein each technical component (12) of the plurality of technical components is a hardware component or a software component, wherein each technical component (12) of the plurality of technical components comprises at least one active part, wherein the plurality of technical components (12) interact with each other in the technical system, comprising: a. a runtime environment (14) for the active parts of the plurality of technical components (12); wherein the active parts of the plurality of technical components (12) execute in the runtime environment (14); and b. an interface (16) for the active parts of the plurality of technical components (12); wherein the interface (16) is configured for establishing the execution of the active parts of the plurality of technical components (12) in the runtime environment (14). Further, the invention relates to a corresponding runtime environment, a corresponding interface, a corresponding computer-implemented method and a corresponding computer program product.

This invention relates to a dynamically adjustable multi-core collaboration mechanism and power optimization method and system based on the RISC-V architecture, including: 1) Initialization of the dynamically adjustable multi-core collaboration system; including: initializing hardware modules, which include high-performance P-cores, low-power E-cores, a hardware scheduling unit (HSU), and a power management unit (PMU); loading the task queue and marking task characteristics; 2) Core status monitoring; including: the HSU monitoring the core status; and the PMU monitoring voltage and frequency; 3) Dynamic task scheduling; including: allocating tasks to high-performance P-cores or low-power E-cores according to their characteristics; and having idle cores enter low-power mode; 4) Adaptive power saving and task migration. Through dynamic task scheduling and power-saving optimization algorithms, the flexibility and efficiency of the RISC-V multi-core processor are significantly improved.