103 results about "Task management" patented technology

1. Name of the product in this design: Graphical User Interface for Multitasking Switching in Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design features of this product are its graphical user interface content. 4. The image or photo that best illustrates the design points: Interface change state diagram 2. 5. The rear view, top view, bottom view, left view, and right view are standard design elements and are omitted. 6. Purpose of the graphical user interface: The graphical user interface is used to switch between different task modules in the software. In the main view, click the button with the ellipsis in the upper right corner to enter the interface change state (Figure 1). Click the "Multitasking Management" button in the circular button of the pop-up window below the interface change state diagram 1 to enter the interface change state diagram 2.

This invention relates to the field of computer task management technology, and in particular to a task management method for Electron desktop applications based on IndexedDB storage. The method includes a task management module that listens for user-issued tasks; a task management trigger judgment method that modifies the queue type of a preset number of tasks to a running queue; a trigger method when the waiting task queue changes, wherein the waiting task queue enters the running task queue in a first-in-first-out manner; and a trigger method when the running task queue changes, executing the background interface or Electron's Node.js service corresponding to the task type of the unexecuted or paused tasks. This invention provides a complete desktop application task management solution that, compared to other storage methods, handles large-scale task processing with ease. IndexedDB's shared-source strategy ensures data security.

The application relates to the technical field of data governance, in particular to a task management method and device and computer equipment. The method is applied to a task scheduling system and comprises the following steps: determining a current to-be-executed subtask from a task list, determining a target agent corresponding to the to-be-executed subtask according to a type label of the to-be-executed subtask; calling the target agent to execute the to-be-executed subtask, obtaining execution result data, and feeding back the execution result data to a main agent; when it is determined that the execution result data represents execution failure, calling the main agent to process the execution result data and a memory chain of the main agent, obtaining an adjusted task sequence; updating the task list based on the adjusted task sequence, and continuing to execute each subtask that has not been executed in the updated task list. The scheme can improve the execution efficiency of the task scheduling system.

We provide the system. [Solution] A means of acquiring audio information and converting it into text information using speech recognition, A means of analyzing textual information and generating a summary, A method for automatically extracting work items and action items from a summary and registering them in the task management system, A means for translating summaries and work items into multiple specified natural languages, A means of saving the generated data and making it accessible in real time, A method for generating natural language meeting minutes in real time and making them immediately available to meeting participants. A system that includes this.

This application discloses a task migration method and a mobile terminal, relating to the field of artificial intelligence technology. In response to changes in the screen form of the mobile terminal, task context data is acquired; based on the task context data, task planning information is generated; wherein, the task planning information includes inference information of the current task and at least one of the predicted subsequent executable tasks; thereby, based on the task planning information, a corresponding task management window is output in the changed screen form to form an interactive interface associated with the current task.

This invention provides a multi-agent cooperative underwater logistics system and method based on reinforcement learning, applicable to the fields of underwater robot cooperative control and intelligent logistics technology. The system integrates six modules: task management, multimodal communication, cooperative localization, path planning, energy management, and fault handling. Through a dynamic switching mechanism in multimodal communication, it adaptively selects between acoustic, optical, and magnetic induction modes to ensure communication reliability in underwater environments. A distributed cooperative localization method based on dynamic weights is employed, optimizing weight allocation by considering communication quality, battery power, and computing power to achieve cooperative localization. A multi-agent reinforcement learning controller with a multi-branch attention mechanism is introduced to achieve real-time obstacle avoidance, formation maintenance, and task-oriented cooperative path planning. An intelligent charging strategy based on multi-level battery thresholds and task urgency supports continuous system operation. A sliding window fault detection and adaptive task reassignment mechanism enhance the system's fault tolerance and robustness.

The application provides a speech-driven construction site task intelligent decomposition and dynamic supervision method and system, relates to the technical field of intelligent management of construction sites, and is used for improving the intelligent level of construction task decomposition and site supervision. The method comprises the following steps: converting speech into text, performing semantic analysis and knowledge retrieval, automatically decomposing to generate a structured construction process list, reporting images during process execution, comparing the pre-retrieved process acceptance standard, and outputting problem identification results and rectification suggestions. The application realizes speech-driven automatic decomposition of construction tasks and closed-loop dynamic supervision, and improves the efficiency, accuracy and standardization level of construction site task management.

This invention discloses a method for implementing a JS timer, comprising the following steps: Step S1: In a lightweight open-source HarmonyOS system, a JavaScript application creates a JS timer, which specifies a timing period and a callback function. Step S2: The JS timer is added as a task timer in the lightweight open-source HarmonyOS system, and executed by the task management module. Step S3: When the timing period of the task timer expires, an asynchronous message is sent to the JS APP thread, which then executes the asynchronous callback upon receiving the message. This invention automatically stops the JS timer when the device enters a low-power screen-off state, reducing unnecessary system wake-ups and saving device power. If the JS APP thread is busy, the JS timer cannot be scheduled and will not send unprocessable asynchronous messages, avoiding the problem of system crashes due to a full message queue and improving system robustness.

1. The name of the design product: electronic device data automatic collection and transfer task management graphical user interface. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the interface content displayed by the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for displaying the graphical user interface of the list management and task details of the device data collection and transfer task. 6. The usual design, omit the rear view, left view, right view, top view, bottom view. 7. The front view is the task plan management page of the automatic data transfer in the device data collection system. The task shows the situation from the source end to the target end by combining the visual effect. Clicking the task entry can pop up the task details. See "interface change state diagram 1". The block shows different module information of the task. Clicking the execution history can switch to the historical list interface. See "interface change state diagram 2".

The application provides an AI-driven software project full life cycle intelligent management method and system, relates to the technical field of software project management, and comprises the following steps: realizing demand structural analysis by fusing NLP and a knowledge graph, automatically supplementing implicit demand and compliance requirements; completing task automatic disassembly, work hour estimation and resource dynamic scheduling based on reinforcement learning; identifying risks in real time by fusing multiple source data and generating a treatment scheme; completing online verification according to an optimal path and realizing data closed loop self-optimization; the system comprises five modules, namely, demand analysis, task management, risk control, online verification and data storage, and breaks data islands by means of a unified data platform, a distributed message queue and a globally unique identification system. The application effectively solves the problems of demand deviation, progress lag, risk lag and data island, significantly improves demand accuracy, management efficiency, risk response speed and delivery quality, and is suitable for intelligent management of software project full life cycle in multiple fields.

The application provides a dynamic warehouse navigation method and system for single-wave sorting task logic and navigation strategy decoupling, adopts a high-fidelity, strong-random, noise-containing simulation environment as a test framework; adopts a deep reinforcement learning single-target navigation network ColorDynamic pre-trained by an independent bottom motion control layer as a bottom motion control to realize a scheduling strategy between single targets and relative dynamic obstacles; adopts an independent upper task management layer to form an order task queue; in a robot navigation process, the robot is regulated and controlled in motion behavior based on the bottom motion control layer, and continuous execution of tasks is performed based on a multi-target sequence of the upper task management layer, so that seamless continuous navigation of multiple targets is completed.

This invention discloses a comprehensive management system for cadres' daily work, comprising: a basic configuration module for configuring user roles and their respective departments; a task management module, including: a task decomposition unit, a task execution unit, a task feedback unit, a task query unit, and a task summary unit; the task decomposition unit is used to horizontally and / or vertically decompose tasks to be executed to the corresponding cadres; the task execution unit is used to record task execution status; the task feedback unit is used to record feedback on task execution status; the task query unit is used to query detailed information and completion status of tasks; the task summary unit is used to summarize all task information; and an evaluation management module, which uses evaluation management strategies to evaluate cadres' performance in completing tasks. This system constructs a closed-loop management system for the entire task lifecycle, standardizes the task flow process, and significantly improves the efficiency of government work.

The disclosed system enhances task and calendar management through artificial intelligence. The system obtains multiple messages and calendar entries associated with a user. Using AI, the system analyzes messages to identify tasks related to calendar entries. For each task, the system retrieves information including the subject matter and invitees associated with the related calendar entry. The system then identifies a group of messages relevant to the calendar entry based on the invitees and / or subject matter. Using AI, the system creates a summary of these relevant messages and sends this summary to the user. This process streamlines task management, improves calendar organization, and provides concise summaries of relevant message conversations, thereby enhancing overall productivity and communication efficiency.

This application provides a task processing method, an electronic device, a storage medium, and a program product. It relates to the field of information processing technology. The method is applied to a task generation system, which is communicatively connected to an instant messaging client and a task management platform. The method includes: incrementally retrieving unstructured data corresponding to a target session in the current cycle from the database of the instant messaging client within each preset polling cycle; retrieving structured data of the target session generated earlier than the current cycle; generating task operation instructions corresponding to the target session based on the unstructured and structured data; and executing corresponding task processing operations in the task management platform according to the task operation instructions. This method achieves automatic synchronization and consistency maintenance of the user intent in instant messaging and the state of the background task management platform, thereby improving the efficiency and reliability of cross-platform task collaboration.

A task management method, apparatus, device, medium, and product are provided. The method includes receiving a task description, the task description representing a task to be performed by a movable device; presenting a plurality of factors, the plurality of factors being associated with the task, the plurality of factors including at least a first factor and a second factor; and presenting a first combination, the first combination including a first plurality of attributes associated with the first factor and a second plurality of attributes associated with the second factor, and the first combination indicating that the task is to be performed by the movable device under constraints of the first plurality of attributes and the second plurality of attributes. In this way, attributes of various factors in a complex environment can be combined in a simpler and more efficient manner, improving the efficiency of task management, and thus improving the efficiency of performing the task by the movable device.

Provided in the present application are a task management method, and a computing cluster and a computer program product. The method comprises: a management node in a computing cluster acquiring a first demand amount, for a shared cache in a first computing node, of a plurality of tasks running in the first computing node in the computing cluster, wherein the shared cache in the first computing node is a shared cache corresponding to a plurality of processing units of the first computing node; when the capacity of the shared cache in the first computing node cannot meet the first demand amount, the management node determining a task to be migrated from among the plurality of tasks, and determining a second computing node capable of meeting a shared cache demand of the task to be migrated; the management node sending information of the task to be migrated and information of the second computing node to the first computing node; and the first computing node migrating the task to be migrated to the second computing node on the basis of the information of the task to be migrated and the information of the second computing node. The method can meet the demand of a task for a shared cache to the greatest extent, and make full use of shared cache resources of the entire computing cluster.

This invention discloses a detection task management method and system based on a LIMS system, relating to the field of task management technology. The method includes: generating historical branch records based on an audit trail record set of the target sample, and sorting the historical branch records to obtain a record sequence; filtering the record sequence for previous branches based on rule configuration data from the LIMS system to obtain a set of previous branch records, and marking the previous branch record set with restrictions to obtain a set of previous branch restriction marks; obtaining a reverse branch suppression graph based on the record sequence; constructing an ant colony search edge set based on the set of previous branch restriction marks and the reverse branch suppression graph; and determining the target edge based on the edge pheromone set and edge heuristic value set determined by the ant colony search edge set. This invention improves the standardization and reliability of the detection process.

1. Name of the product in this design: Homepage Graphical User Interface of Behavior Tracking System for Electronic Devices. 2. Intended use of this design: for use in an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. This design relates only to the graphical user interface; the rear view, left view, right view, top view, and bottom view are omitted. 6. Uses of the graphical user interface: Used in intelligent behavior tracking systems to visually display information such as time tracking, task management, data analysis, and reporting functions. 7. Human-computer interaction method of graphical user interface: The main view and the changing state diagram together form the system's Home interface. The Home interface is the main interface for data display and analysis. This main interface is a long interface. Users can jump between the main view and the changing state diagram by scrolling up and down on this main interface to view the complete content. 8. Other situations requiring explanation: The charts and data in the main view and the changing state diagram can be changed according to the actual situation; "XXX" in the interface can represent numbers / letters / text, etc.

The application discloses a method for realizing a C language to build a graphical interface. A JS APP thread is created as a UI main thread. A task management module is initialized in the JS APP thread. The task management module sequentially calls an input management module, a sub-task management module, an animation management module and a rendering management module. The sub-task management module is used to add one or more UI sub-tasks after an input management task and before an animation management task in a UI task queue, and execute the added UI sub-tasks; the UI sub-tasks are used to build a C application interface, execute a startAbility function, delete a C application interface or execute a teminateAbility function. The application adds the ability of the C language to build an application graphical interface for a lightweight open-source Hongmeng system.

The application relates to the technical field of airport operation management, in particular to an airport business rule management and task arrangement method and system based on digital twinning, which comprises the following steps: a rule script uploaded by a user is received through a rule management module, and a rule node is generated based on rule script encapsulation; a visual editor in a task management module is used to construct a business process task comprising a target node and a node data flow based on the user's dragging and connecting operation on the target node; real-time data flow is obtained from an airport digital twinning system based on the business process task through a real-time execution engine, a calculation corresponding to the rule node of the business process task is performed, and the calculation result is pushed to a downstream system or a front end in real time. In this way, flexible management of business rules, visual arrangement and automatic execution of tasks can be realized, and when subsequent business changes occur, the development personnel need not be involved to quickly respond to the business changes, so that the real-time decision-making capability and operation and maintenance efficiency of the airport are improved.

The embodiments of this disclosure generally relate to the field of data analysis technology, specifically to a task processing method based on the R Shiny application, a Shiny server and client for processing tasks, a computer program, and an electronic device. The server method includes, in response to receiving a submitted task from the Shiny client, creating a task entry corresponding to the task in a task database, and configuring the task status of the created task entry to a first state. The method further includes polling the task database to initiate one or more tasks corresponding to one or more task entries in the task database whose task status is in the first state, and configuring the task status of the initiated task's corresponding task entry to a second state. The method also includes, in response to task completion, configuring the task status of the task entry corresponding to the completed task in the task database to a third state. This method can prevent the loss of calculation results when the current browser page is closed or refreshed.

This invention addresses the problem of making it possible to, through communication with a user, propose at a suitable timing a task and / or an action according to the current situation of the user.　In a CPU 11 of a management server 1 constituting an information processing system, an information management unit 32 stores a task, manages a hierarchical structure of the task, manages task communication information related to the task in association with the task, and also manages execution status information related to the current execution status of the task and history information related to the past execution history of the task. In addition, on the basis of the execution status information and the history information, an information generation unit 33 generates assistance information for assisting a user who executes the task. Due to this configuration, the above-mentioned problem is solved.

The application discloses an agent task management method, system and device, electronic equipment and a computer readable storage medium. The method comprises: obtaining an agent to be managed and configuration information preset for the agent to be managed, the agent to be managed corresponding to a plurality of tasks to be managed, and the configuration information at least including a trigger condition corresponding to each task to be managed; monitoring a task event associated with each task to be managed; in response to a first task event satisfying a trigger condition of a first task to be managed, triggering the agent to be managed to execute the first task to be managed, the first task to be managed being any one of the plurality of tasks to be managed, and the first task event being associated with the first task to be managed. The method solves the technical problem that the task management of the agent is highly dependent on manual work in the prior art, resulting in high management cost and low management efficiency.

The present disclosure relates to a training task management method and device, electronic equipment and storage medium. By receiving a training task submitted by a user, the training task contains target container orchestration cluster identification information and configuration information of the training task, based on the target container orchestration cluster identification information and the configuration information of the training task, the training task is submitted to the target container orchestration cluster in the plurality of container orchestration clusters, so as to run the training task through the target container orchestration cluster, and based on the state monitor corresponding to the target container orchestration cluster, the running state of the training task is listened. Compared with the prior art, the embodiment of the present disclosure can realize cross-cluster task scheduling, improve resource utilization and task execution efficiency, can realize real-time state monitoring, and facilitate timely discovery and processing of task exceptions through unified management of multiple clusters.

The application discloses a double-end interaction-based incentive learning task management method and system, and relates to the technical field of education. The method can respond to different trigger instructions from a child client or a long management end and generate different learning task data packets, generate an audit result instruction by calling an audit process based on task completion data from the child client, directly generate a reward distribution instruction based on task completion data from the parent end, update a reward data record table based on the generated instruction, drive an incentive feedback engine based on the reward data record table to calculate and update virtual avatar state data corresponding to a current target child account, and perform compliance verification and push for approval on a right exchange request. The application achieves the technical effects of encouraging children to complete learning tasks through double-end interaction, scientifically managing the learning process, associating learning tasks with rewards and virtual avatar states, and reasonably approving right exchange.

This invention relates to the field of Internet technology, and in particular to a cloud platform assisted monitoring system, including a monitoring task management module, an anomaly judgment module, a link construction module, a root cause localization module, a confidence locking module, and a backend maintenance module. This invention sets up comprehensive monitoring tasks to collect service status data and computing resource index data of core components of control nodes and computing nodes. After preprocessing, time-series feature parameters are extracted and anomalies are judged. Simultaneously, based on a preset component relationship graph, upstream and downstream dependent components are traversed to construct an anomaly propagation link. Furthermore, candidate root cause components are screened through multi-dimensional scoring, and root cause confidence scores are calculated by combining deviation analysis of real-time behavioral data to determine the final root cause component and generate a root cause list. This automatically triggers corresponding maintenance or repair processes, thereby achieving accurate identification of cloud platform anomalies, propagation link tracing, and root cause localization, significantly improving the efficiency of cloud platform monitoring and management.

The application discloses a follow-up management system and method, which comprises an information management module, a label management module, a follow-up scheme generation module and a follow-up task management module. The follow-up target person's unstructured multi-source information is converted into structured label information, the personalized follow-up scheme is generated according to the label information, the follow-up task is automatically batch-generated and executed according to the follow-up scheme, the follow-up operation personnel is liberated from the tedious scheduling and notification work, the follow-up efficiency is improved, the personalized, scaled and refined patient follow-up management is realized, and meanwhile, the personalized follow-up scheme generation and the automatic follow-up task execution ensure that different follow-up target persons can obtain the same quality and standardized follow-up service under the same management path.

This application provides a task management method, apparatus, storage medium, and device. In this method, a system command line is used as the unique format for global tasks. A task agent is deployed before the system command line entry point. This task agent verifies the correctness of issued tasks and schedules their execution. Furthermore, the task agent collects task and system information for querying by both remote and local management terminals. This allows both terminals to understand the current task and system status in real time, enabling the creation of planned tasks tailored to system and business characteristics. This optimizes task scheduling and management, effectively avoiding conflicts between remote and local management operations.

The application relates to the technical field of laser printers and discloses a laser printer control task management method and system based on deep learning, which comprises the following steps: collecting pretreatment data; constructing a deep learning model based on mixed attention; extracting local features in task, device and environment data by using a separable convolution structure of a convolutional neural network; capturing time sequence dependency in device running states and task execution processes by using a long short-term memory network; mining cross-dimension association weights between different feature dimensions based on a self-attention mechanism; optimizing hyperparameters of the mixed attention deep learning model by using an improved IWOA whale optimization algorithm to obtain a target mixed attention deep learning model; and inputting the pretreatment data into the target mixed attention deep learning model to output task scheduling priorities, optimal control parameters and fault risk prediction results. The method can optimize a task queue, improve printing efficiency, adjust control parameters and reduce device downtime.

This invention discloses a laboratory animal production management system and method based on RFID technology. The management system includes: a task management subsystem, comprising a task allocation module, a task assignment module, a task operation guidance module, a task execution review module, and a task completion module; a staff management subsystem, comprising a staff information collection module; the staff management subsystem is deployed on an interactive terminal located within the target work area of ​​laboratory animal production; a work object management subsystem, comprising an operation information identification and collection module; the work object management subsystem is deployed at work points located within the target work area; and a data information management subsystem, comprising an information transmission module and an information recording module. This invention can improve production efficiency, reduce production costs, and promote the concept of lean production in the laboratory animal industry.