239 results about "Task analysis" patented technology

Systems and methods for creating and sharing tasks over one or more networks are disclosed. In one embodiment, a system comprises a message retrieval module configured to retrieve electronic messages and parse them into a plurality of tasks. The system can also include a task creation module configured to process the message to identify task information and one or more task recipients. The task creation module can also be configured to create a task based on the identified task information. A task notification module can be configured to notify the one or more task recipients about the created task. The system may also include a multi-layer network management module configured to organize the tasks and task participants into multiple networks and clouds and into a federation of clouds. The system can also include a task analytics module programmed to analyze the tasks performed by users of the system.

Methods and apparatus for analyzing tasks performed by computer users by (i) gathering usage data, (ii) converting logged usage data into a uniform format, (iii) determining or defining task boundaries, and (iv) determining a task analysis model by "clustering" similar tasks together. The task analysis model may be used to (i) help users complete a task (such help, for example, may be in the form of a gratuitous help function), and/or (ii) to target marketing information to users based on user inputs and the task analysis model. The present invention also provides a uniform semantic network for representing different types of objects in a uniform way.

Methods and apparatus for analyzing tasks performed by computer users by (i) gathering usage data, (ii) converting logged usage data into a uniform format, (iii) determining or defining task boundaries, and (iv) determining a task analysis model by "clustering" similar tasks together. The task analysis model may be used to (i) help users complete a task (such help, for example, may be in the form of a gratuitous help function), and/or (ii) to target marketing information to users based on user inputs and the task analysis model. The present invention also provides a uniform semantic network for representing different types of objects in a uniform way.

Methods and apparatus for analyzing tasks performed by computer users by (i) gathering usage data, (ii) converting logged usage data into a uniform format, (iii) determining or defining task boundaries, and (iv) determining a task analysis model by "clustering" similar tasks together. The task analysis model may be used to (i) help users complete a task (such help, for example, may be in the form of a gratuitous help function), and/or (ii) to target marketing information to users based on user inputs and the task analysis model. The present invention also provides a uniform semantic network for representing different types of objects in a uniform way.

Methods and apparatus for analyzing tasks performed by computer users by (i) gathering usage data, (ii) converting logged usage data into a uniform format, (iii) determining or defining task boundaries, and (iv) determining a task analysis model by "clustering" similar tasks together. The task analysis model may be used to (i) help users complete a task (such help, for example, may be in the form of a gratuitous help function), and/or (ii) to target marketing information to users based on user inputs and the task analysis model. The present invention also provides a uniform semantic network for representing different types of objects in a uniform way.

A method of detecting tasks performed by users wherein a single task is a sequence of web URLs invocation. Task patterns are detected in web logs to identify tasks performed by users and analyze task trends over time, across corporate divisions and geographies. A grammar-based framework is used to model and detect tasks from web log patterns. The framework has two components: a declarative unit—to generate a task grammar, and a processing unit—to detect tasks from access logs by generating a state machine for applying the task grammar to the tokens associated with the access records. By analyzing user tasks, rather than just URLs, useful business information can be extracted.

The invention discloses a dynamic migration method of video tasks in an edge computing environment. Multiple ECNs (Edge Compute Nodes) are selected in an ECN cluster under the edge environment to runa task scheduling migration scheduler to be responsible for distribution and scheduling work of the tasks, and the other ECNs in the cluster undertake task migration work and provide computing resources. The computing task migration scheduler executes task migration decision in each scheduling cycle to determine whether the tasks are executed locally in the ECNs or migrated to a data center, and tasks needing to be migrated to the data center are directly sent to a task execution unit of the remote-end data center through an ECN transmission unit for analysis processing. According to the method, the tasks are dynamically scheduled and processed on the basis of meeting network bandwidth and calculation costs, goals of reducing transmission time delay of edge data and improving task analysisprocessing speed are achieved, thus low delay time and high response of a task migration process are effectively guaranteed, and video service experience of users is improved while higher video service quality is realized.

A method of fusing sensor detection probabilities. The fusing of detection probabilities may allow a first force to detect an imminent threat from a second force, with enough time to counter the threat. The detection probabilities may include accuracy probability of one or more sensors and an available time probability of the one or more sensors. The detection probabilities allow a determination of accuracy of intelligence gathered by each of the sensors. Also, the detection probabilities allow a determination of a probable benefit of an additional platform, sensor, or processing method. The detection probabilities allow a system or mission analyst to quickly decompose a problem space and build a detailed analysis of a scenario under different conditions including technology and environmental factors.

The invention belongs to application of a reliability analysis technology to the technical field of fire engineering, and ensures that the using reliability of a fire fighting system is accurately analyzed and calculated. A fire fighting system reliability analysis and calculation method comprises the following steps of: establishing a fire fighting system reliability model and determining reliability units according to the working principle of the fire fighting system, forming a GO chart for establishing the fire fighting system according to the boundary of the fire fighting system and success criteria, and determining a fault judgment method for the reliability units of the fire fighting system according to task analysis of the system and fire code requirements; and substituting fault statistical data of the reliability units of the fire fighting system into a GO model of the fire fighting system to calculate corresponding reliability indexes of the fire fighting system, such as a fault rate, average maintenance time, availability and the like. By the method, the reliability of the fire fighting system can be objectively qualitatively evaluated or accurately quantitatively evaluated, and the method can be widely applied to reliability design, reliability manufacture, fault analysis and system evaluation of the fire fighting system.

The invention discloses a central support system and method for a quick service response. The system comprises an intelligent service appeal determination module, a service trajectory analysis module, and a marketing-distribution cooperation application data sharing module. In addition, the method includes: historical user information is invoked from an electricity information acquisition system based on user request information, a correlation analysis is carried out on the user based on the historical user information, and a service corresponding to a current user is generated according to an analysis result; service trajectory, user behavior, service channel and hotspot task analyses are carried out on the service successively to obtain at least one to-be-processed work order corresponding to the current user; and the work order is classified and send the classified work order is sent to a distribution network automation system, a production management system or a marketing system according to the type of work order. Therefore, the service determination system support is enhanced, so that service determination in the power system becomes intelligent and accurate; and a service determination result is obtained intelligently, so that a basis is provided for formulating a differentiated service strategy.

The invention discloses a task management method for quantifying task value. The method includes the steps that task content and task levels are acquired and informed to a task executor and a task supervisor; the task content is sent to the task executor; task beginning time is recorded; the task execution progress is acquired regularly and sent to the task supervisor; task completion time is recorded; the evaluation of the task supervisor is acquired; task value is acquired through calculation. The invention further discloses a task management device for quantifying the task value. The device comprises a task management module, a task analysis module, a task tracking module and a timer module. According to the task management method and device for quantifying the task value, the task value of unstructured tasks can be quantified.

The invention relates to a system maintenance time distribution method based on operation decomposition, which comprises the following steps: 1. analyzing tasks, the step of analyzing the tasks comprises distribution request analysis, distribution object analysis, maintenance activity and influence factor analysis, wherein the distribution object analysis is mainly used for determining distributive system levels, functions and structural levels of all components of a device, and a product decomposed into the needed level by the system, namely, a replaceable unit, and mapping systemic functions and structural level diagrams; and the number of the levels is determined by complexity level of the device; 2. obtaining data, obtaining existing data of a distribution object required to be analyzed, namely, data of a similar product, fault frequency data, reachability data, testability data and the like; 3. selecting a distribution method, selecting high-level distribution or low-level distribution according to the stage of product design and the product level; 4. distributing indexes, distributing maintainability indexes of the given product to product units at all levels according to the selected method; 5. analyzing a result, judging whether a distribution result is in line with requirements and is feasible.

The invention provides a constitution method of comprehensive reliability testing profile for both software and hardware. The method is used for reliability testing of an embedded system and includes the steps of system analysis, system task analysis, system flow analysis, core profile constitution, probabilistic information determining and software-hardware reliability profile combining. A hardware reliability profile and a software reliability profile are constituted and are sectioned, sections are combined on the basis of a task combing point and a time combining point, and accordingly the profiles are effectively combined. By the constitution method, true service condition of the embedded system can be truly embodied, reliability test data of the tested embedded system, which is generated on the basis of the comprehensive test profiles, is more reliable and more adaptable to reliability testing of systems, and the constitution method can be used for failure analysis for the tested embedded systems.

The invention provides a real-time task matching scheduling system and method based on resource monitoring in edge computing. The method comprises the steps of detecting user demands and then converting the user demands into a task unit set; carrying out sub-task analysis on each task in the task unit set, and integrating and deduplicating the repeated sub-tasks to form a sub-task workflow; monitoring the real-time resource and task state of each edge server; and performing real-time mode matching on the sub-tasks and the edge server, and performing task scheduling according to the sub-task sorting sequence and the task priority. According to the method, the average running time of each task can be minimized as much as possible on the basis of ensuring normal execution of the task and meeting corresponding limiting conditions in an environment of multiple edge servers, and meanwhile, each resource can be more fully utilized, so that dynamic high-throughput low-delay task response is provided for task matching scheduling.

Systems and methods for managing tabs, such as tabs used for accessing web pages. Such systems and methods may also provide, arrange and identify the tabs based on tasks to be performed using resources accessed via the web pages. A method for task-based web page tab management may include determining a task period. The method may also include selecting one or more tabs of a plurality of displayed tabs to adjust based on the task period and a task profile. The method may further include adjusting the display of the selected tabs. A system for task-based web page tab management may include a task period determiner and a tab adjuster. The system may also include a task profiler.

The invention relates to a two tickets combined inference billing method of power grid based on work task analysis, characterized by comprising the steps of a work ticket billing task analysis, a formatted operation task, a work ticket inference and an operation ticket inference, wherein, the work ticket billing task analysis is responsible for extracting required work task content, work equipment, work place, work time and obtaining a required state b for operating on XX equipment from the inputted task; the formatted operation task is responsible for acquiring a current state a of the work equipment from a power grid topology real-time knowledge base, and sending the operation task with a format of switching the XX equipment from state a to state b to an operation inference engine; the work ticket inference is responsible for integrating a work ticket with a normative format through a personnel arrangement sub inference, a safety precautions sub inference and a dangerous point sub inference separately in accordance with the analyzed task; and the operation ticket inference is responsible for billing an operation ticket focused on the operation sequence through an operation task analysis, an operation sequence inference and an operation sequence evaluation. The method is scientific and reasonable, has the advantages of convenience, speediness, nicety, suitability, etc., and realizes the intelligent management of the electric power scheduling.

An information processing system, a computer readable storage medium, and a method for distributing an application among computing nodes in a distributed processing system. The method estimates a cost of storing information pertaining to the application on different computing nodes; estimates a cost for computing resources required to execute the application on different computing nodes; estimates a cost of inter-node communication required to execute the application on different computing nodes; and selects at least one computing node to execute the application based on minimizing a total of at least one of the cost estimates.

The invention relates to an aircraft task reliability modeling method based on dynamic characteristics. The method includes the steps of firstly, conducting aircraft system analysis and task analysis, and establishing an aircraft task result state set; secondly, selecting an event tree (ET) method, and establishing an aircraft task process reliability reference model; thirdly, analyzing aircraft initial/middle task reliability characteristics, selecting a dynamic failure tree (DFT) method, a Bayesian network (BN) method, a Markov method and the like, and establishing an initial/middle task reliability characteristic model; fourthly, establishing an aircraft task reliability comprehensive model by compositing the initial/middle task reliability model. By means of the method, the dynamic characteristics in the aircraft complicated task process can be more accurately depicted, the influences of dynamic changes of aircraft system composition at different task stages in the aircraft task process on the aircraft task reliability are comprehensively reflected, and the established task reliability model can be more accurate.

The invention proposes an autonomous-management spacecraft information system and an operation method thereof. The system employs a ground and spacecraft combined working mode to execute the autonomous task management. The system comprises five hardware subsystems: a task subsystem, a propulsion control management subsystem, a looped heating management subsystem, an energy source management subsystem, and a load management subsystem. The task subsystem is used for carrying out the task analysis, task planning and task evaluation for a spacecraft, and carrying out the real-time monitoring of each subsystem. The propulsion control management subsystem, the looped heating management subsystem, the energy source management subsystem and the load management subsystem are used for task execution and the feedback of a task execution result. Therefore, the invention provides a solution for the design of a spacecraft information system which is used for the long-time and superlong-distance spacecrafts and meets the requirements of hiding performances and high real-time performances. Meanwhile, the system reduces the manual control of an astronaut, effectively reduces the task cost, and provides a technological base for the subsequent autonomous or semi-autonomous formation cooperative work among the spacecraft.

The invention provides a data processing method and device for Internet of Things equipment, electronic equipment and a storage medium, and the method comprises the steps: taking an analysis task forspecified types of Internet of Things equipment, wherein the analysis task comprises an alarm rule, execution time, a region range and frequency; according to the frequency, regularly acquiring monitoring data of a specified type of Internet of Things equipment in the execution time range; judging whether the monitoring data meets an alarm rule or not according to the alarm rule; if yes, generating an alarm signal. According to the technical scheme provided by the invention, through the analysis tasks corresponding to the types, whether the monitoring data of the Internet of Things equipment of the same type are alarmed or not can be judged according to the alarm rules set by the analysis tasks in a unified manner, so there are various corresponding analysis means for the monitoring data of the Internet of Things equipment of various types and different data formats; therefore, the data processing efficiency is improved, and the performance of data processing equipment is improved.

The invention discloses a method for communicating a third-level domain and a second-level domain in a software-defined packet transport network (SPTN) and a system. The method comprises the following steps that a database collects external information; a primary control unit receives services, and performs path calculation according to a source address and a destination address of the services; and a secondary control unit issues a task after analyzing service parameters transmitted by the primary control unit. The system comprises the primary control unit and the secondary control unit, wherein the primary control unit comprises a task receiving module, a task analyzing module, a task issuing module, a link protection module, an alarm module, a primary database and a task uploading module; and the secondary control unit comprises a secondary task issuing module, a secondary database, a second-layer anti-looping module, an ARP module and a switch module. Through adoption of the method and the system, communications between the third-level domain and the second-level domain of an SPTN domain can be realized, namely, service flows can be transmitted from an Internet protocol (IP) layer to a media access control (MAC) layer and can be transmitted from the MAC layer to the IP layer. Moreover, link protection, alarm and quality of service (QoS) setting functions are provided, so that the reliability and robustness of the network are ensured.

There is disclosed an application controller for use with a two-way wireless messaging system. The application controller is distributed, at least in part, among a plurality communication units associated with the two-way wireless messaging system. The application controller is capable of controlling cooperative communication among ones of the communication units in accordance with a prescribed application task, and comprises a data repository, first and second communication controllers, and an operations controller. The data repository maintains at least one subscriber profile. The first communication unit controller senses change in a characteristic monitored at a first communication unit, wherein the monitored characteristic is evaluated in accordance with the prescribed application task, and, in response thereto, automatically causes the first communication unit to transmit a first data signal. The operations controller analyzes the first data signal in accordance with the prescribed application task using the at least one subscriber profile, and, in response thereto, causes a second data signal to be communicated automatically to at least a second communication unit. The second communication unit controller automatically analyzes the second data signal at the second communication unit, and, in response thereto, transmits an acknowledgment signal to at least said first communication unit.

The invention discloses an optimized configuration method for reentry and return spacecraft propulsion system, which solves a problem that a conventional configuration method is difficult to meet the configuration quality of the small-scale return spacecraft power system configuration. Based on a task analysis, in order to adapt to the characteristics of the small return spacecraft, a type of a propulsion system and a propellant is selected reasonably, a effective propellant weight is calculated, a selection of extrusion gas type is optimized, a rail control engine and a attitude control engine thrust and a number of that is preliminary determined by further analyses, the attitude control engine thrust and cylinder tank layout is determined. According to the calculated control capacity to optimize the attitude control engine thrust until the control requirements to meet the optimal system to achieve optimal configuration.

The invention discloses a system for real-time intelligent capturing of an article. The system comprises a real-time capturing module, a webpage extraction system, a similar document duplicate-removing module, a document automatic classification module and an article publishing module. The real-time capturing module further comprises seven modules running online: a task extraction module, a task analysis module, a task capturing time range test module, a task capturing time interval test module, a task scheduling module, a task downloading module and a task capturing frequency regulation module; and the real-time capturing module still comprises three modules running offline: a task capturing time range discovery module, a task capturing time internal discovery module and a nonprofit agent collection and authentication module.

The embodiment of the invention discloses a resource scheduling system and method based on edge computing in a heterogeneous environment in the technical field of edge computing. The resource scheduling system based on edge computing in a heterogeneous environment includes an EdgeCloud is used for task analysis, scheduling, resource management and arrangement, an EdgeAgent which is used for creating and destroying resources required by calculation according to an instruction of the EdgeCloud and monitoring a resource load of the EdgeAgent, and a TaskWorker which is used for executing a calculation task allocated by the EdgeCloud. According to the method, the scattered resources in each region are grouped and further added into the resource pool, and the situation of how to dynamically calculate the score of the equipment is designed to determine the scheduling priority of the equipment; through the stored namespace, the method and system can be applied to the data sharing problem during large-scale calculation, and then the data can be shared with the equipment resource group.