811 results about "Task completion" patented technology

In some embodiments, systems, methods, and/or articles of manufacture may determine a rewards group comprising at least a first member and a second member, determine a reward that the group may earn in exchange for completing purchases at a retailer or for performing a task. Embodiments may further comprise determining, based at least partially on a count of group members and a value of the reward, purchasing or task completion conditions the group must satisfy in order to earn the reward. Some embodiments may comprise providing the conditions to the group, determining an acceptance of the conditions by the group, and registering the group for the reward. According to some embodiments, the reward may be provided to the group (or portions thereof) upon a determination that the conditions are satisfied (or at least partially satisfied).

A system and method for using RFID technology to track resource performance and task completion is disclosed. In one exemplary embodiment, a system for facilitating a transaction comprising a transponder, an RF reader, a transaction completion system, and a resource engine. In another exemplary embodiment, the transponder system is configured to provide an account number in ISO/IEC 7816 magnetic stripe Track1/Track 2 format. In accordance with another aspect the transponder may transmit to the RFID reader information identifying the resource's performance tracking account to which the transponder is associated. The RFID reader may receive and forward the information to facilitate performance tracking.

In embodiments of the present invention, a method for managing tasks comprises assigning a task to an individual, associating the task with a points value, receiving an indication that a task is completed, grading the completed task, and awarding points for a completed task to an individual. In other embodiments of the present invention, a method of rewarding individuals for completing assigned tasks may comprise providing a collecting, matching, and trading game facility, wherein the facility provides collectables and collectable packs for collecting, matching, and trading as a reward for having reached a level of task completion; and allowing the individual access to the collecting, matching, and trading game facility, wherein access is based on at least one of permission, a task completed, a number of tasks completed, and a value associated with task completion.

A system and method for using RFID technology to track resource performance and task completion is disclosed. In one exemplary embodiment, a fob and an RFID reader may engage in mutual authentication. Where the RFID reader and the fob successfully mutually authenticate, the fob may transmit to the RFID reader information identifying the resource”s performance tracking account to which the fob is associated. The RFID reader may receive and forward the information to facilitate performance tracking. In one exemplary embodiment, the RFID reader may forward the information to a point of interaction terminal for transaction completion. In another exemplary embodiment, the fob completes tasks via a computer interface. In still another exemplary embodiment, the fob resource and/or a manager access to a resource engine, wherein the resource engine may be used to automatically grade, track, score, and assign resources based on resource skills and skill sets.

The invention discloses a task scheduling method under a cloud computing environment, and belongs to the technical field of computer application. The method of the invention comprises the following steps that: computer nodes register node information from a data center node; the computer nodes transmit health states thereof to a task scheduler through a health state reporting mechanism; the task scheduler allocates tasks to the computer nodes according to the node information, wherein during allocation, the difference between the computer nodes is not considered; computer nodes report the completion of the task to the data center node after each task is completed; the task scheduler allocates a new task to balance the task load between the computer nodes according to the task completion condition of each computer node; the data center node deletes the node information thereof when an abnormal computer node is found, and reallocates the task which is not completed by the node and serves as the new task; and the task scheduler recovers the task which is not completed within a specified time threshold value and reallocates the task as the new task. By the method, the safety for the task allocation under the cloud computing environment can be improved, and the throughput of the task scheduling is effectively improved.

A mobile communication device is adapted to identify a task for postponed transfer to a computing device over a local communication link. A similar transfer task function is established on the computing device for receiving the identified task and any required related data. The user is provided with the ability to initiate a task on the mobile communication device and continue or complete the task on a computer.

Systems and processes for managing worker profiles and worker tasks are provided. Tasks may be dispatched to mobile devices of workers, and workers may report the completion of those tasks using their mobile devices. Workers may earn scores for completing tasks. A worker profile may be maintained for each worker to reflect experience, performance, certifications, awards, and the like. The profile may include a cumulative experience score that reflects the experience level of the associated worker. As workers complete tasks, their profiles may be automatically updated to reflect additional work experience, including incrementing the cumulative experience score. Different experience levels may be obtained and various rewards and recognitions may be given and reflected in worker profiles as cumulative experience scores increase. Worker profiles may also include an overall performance rating that may be updated based on the timeliness and quality of task completion.

A software development planning and management system includes at least one repository of information associating, sub-tasks of an encompassing software development task to be completed and a timeline of sub-task completion, programmer personnel resources, software development requirements and software defects. A user interface uses the repository in providing data representing at least one display image indicating status of sub-task completion, including status of sub-task software generation and test. A resource processor also uses the repository in determining programmer personnel resources required for completion of a plurality of sub-tasks.

The invention provides a task scheduling device in a multimode distributive system. The task scheduling device comprises a new task pool, a task filter, a task filtering pool and a task dispatcher, wherein the new task pool is used for storing new tasks, and the new tasks at least comprise new tasks in which task marks are added; the task filter is used for filtering out tasks with empty marks from the new tasks stored in the new task pool; the task filtering pool is used for storing the tasks with empty marks, filtered by the task filter; and the task dispatcher is used for predicting a model according to task completion time by aiming at each task stored in the task filtering pool so as to predict the completion time for executing the task on each processing node in the node processing set, and allocating the task to the processing node with shortest predicted completion time.

The invention relates to an AGV path planning method based on a shortest path depth optimization algorithm. The AGV path planning method comprises the steps that a PC dispatching system receives a task request and sends request information to each AGV vehicle-mounted monitoring management system; the AGV vehicle-mounted monitoring management systems transmit position information of task executing AGV and position information of task requests to a path optimizing system. The path optimizing system feeds optimal path information back to the PC dispatching system. After the AGV complete tasks, task completion information is fed back to the PC dispatching system. Detailed optimization steps of an AGV path planning system are reorganized, the too complicated process of traditional AGV is omitted, and the coordination work relation of modules of AGV systems are re-planned based on retaining of key process nodes.

A system and method for creating, negotiating, tracking, and analyzing tasks, wherein the present invention provides for automated negotiation of tasks between task assignor and task assignee, and wherein the present invention provides for automated tracking and trending of task completion, performing statistical analysis of the task status and task completion, tracking and trending of tasks assigned to an individuals or group of individuals, sets of individuals belonging to a department or organization, tracking and trending groups of tasks making up a project, and tracking and trending of tasks across an entire organization.

The invention provides a path planning method and a device for an automatic guided vehicle, and relates to an automatic guided vehicle. The path planning method comprises the steps of receiving a source point and a target point of a conveyance task assigned by a server, planning a first conveyance path, driving the automatic guided vehicle to march forward according to the first conveyance path, and sending the task completion information when the automatic guided vehicle reaches the target point of the conveyance task. According to the technical scheme of the invention, the path planning method is applied to the automatic guided vehicle and a path planning task is assigned to the automatic guided vehicle to be executed. Therefore, the operation amount of the server is reduced and the cargo conveying efficiency is improved.

The invention discloses a heterogeneous multi-UAV (Unmanned Aerial Vehicle) cooperative scouting and striking task planning method, and belongs to the technical field of UAV task planning. The method comprises the steps of firstly establishing a task planning model which takes shortest UAV task performing flight and maximum target value as an objective function; and then solving the task planning model by using a heterogeneous multi-population ant colony algorithm so as to acquire an optimal task allocation plan which conforms a task completion time constraint, a UAV task type and capacity constraint and a condition that each task is only performed for one time. The method disclosed by the invention effectively solves a multi-UAV multi-task allocation problem under complex constraint conditions, can satisfy a task sequence proposed in order to improving the combat efficiency while meeting a sequential relation of different types of tasks, and has good flexibility in use.

A method and apparatus for simulating a physical environment to facilitate vehicle operation and task completion is described. In one embodiment, the method includes processing data that is transmitted from a sensor array comprising a plurality of devices, wherein the plurality of devices are placed throughout a physical environment that comprises a plurality of objects, accessing model information associated with the plurality of objects, wherein the model information indicates at least one physical attribute associated with each of the plurality of objects, correlating the model information with the transmitted data from the sensor array to produce a correlation result, generating at least one visual representation of the physical environment from at least one viewpoint based on the correlation result and identifying at least one obstruction, within the physical environment, using the at least one visual representation.

A resource task-completion forecaster (122) of an ACD (104) determines a probability that an agent (156) will complete servicing a presently-assigned call by a specified time horizon h. The forecaster determines (202) the type of call that the agent is servicing, determines (204) the amount of time t that the agent has already been servicing the call, retrieves (206) the mean and the variance of time historically spent by agents on servicing this type of call to completion, fits (208) the mean and the variance to a lifetime closed-form cumulative-probability distribution F, such as a Weibull distribution, to determine parameters of dispersion and central tendency, evaluates (210, 212) the distribution for t and h+t, computes (216) the probability of the agent not having completed servicing the call by now as Q=1−F(t), and computes (218) the probability that the agent will have completed servicing the call by the time horizon as

A resource scheduler (124) sums (302) the probabilities P for all agents to obtain the number of agents that are expected to be available at the time horizon, and schedules (304) for the time horizon no more than that number of new calls for servicing by the agents.

The invention relates to a PDA (personal digital assistant)-based realization method for intelligent patrol of electric equipment. The method is characterized by comprising the following steps: downloading patrol task information to a handheld PDA from an office PC (personal computer) by a patrol staff, patrolling predefined equipment patrol items one by one through an RFID (radio-frequency identification) electronic label by the handheld PDA during outdoor patrolling, and recording data content; after the patrol task is finished, submitting a patrol result to a server through a patrol management host. According to the method, the patrol quality of the electric field equipment can be improved, the problem of non in-place patrolling, missing patrolling, non on-time patrolling or the like is solved, the patrolling efficiency is improved, and the situations of low efficiency, high possibility of missing items and errors during manual reporting in the past are avoided.

An augmented tutoring system is provided that includes a simulation device, at least one sensor and a controller. The simulation device is adapted to provide a simulation that has an objective to accomplish by a student, wherein to achieve the objective a plurality of tasks must be correctly completed. The at least one sensor is adapted to monitor a cognitive state of the student while engaged with the simulation. The controller is adapted to process cognitive state information from the at least one sensor and to process student progress information relating to the completion of each of the tasks. The controller is further adapted to provide feedback to the student based at least in part on the processed cognitive state information and the processed task completion information.

The invention provides a distributed task scheduling method for an unmanned aerial vehicle fleet in a dynamic environment and aims to achieve that the unmanned aerial vehicle fleet get rid of the limits of a ground control station in the dynamic environment and autonomously conduct task scheduling, and the real-time performance of task scheduling is improved. The distributed task scheduling methodis implemented by the steps that a decision-making unmanned aerial vehicle allocates a task to each unmanned aerial vehicle and sends an execution instruction to each unmanned aerial vehicle; all the unmanned aerial vehicle fleet execute the tasks according to the execution instructions sent by the decision-making unmanned aerial vehicle, and communicate with the decision-making unmanned aerialvehicle through a heartbeat mechanism; the decision-making unmanned aerial vehicle conducts optimal scheduling on the tasks of all the unmanned aerial vehicle fleet; the unmanned aerial vehicle fleetexecute the tasks which are determined again according to the flight paths respectively, and formation is kept; the decision-making unmanned aerial vehicle monitors the task completion conditions of all the unmanned aerial vehicle fleet, and when all the tasks are completed, the unmanned aerial vehicle fleet makes a return voyage. By means of the distributed task scheduling method, the unmanned aerial vehicle fleet can select a correct scheduling method according to the change of the dynamic environment, the real-time performance of task scheduling is improved, and the unmanned aerial vehiclefleet can autonomously execute the task.

A computer-implemented method of sourcing electronic tasks is disclosed. The method includes receiving customized electronic tasks, each customized electronic task being customized for a content managing entity. The method also includes identifying a plurality of users that selected to participate in receiving customized electronic tasks. The method further includes communicating one or more of the customized electronic tasks to at least one of the identified plurality of users. A method of consuming electronic tasks is also disclosed. The method includes displaying indicators of customized electronic tasks to a user, receiving a user selection of one of the customized electronic tasks, and generating feedback information regarding the selected customized electronic task.

A method of reorganizing a plurality of task for optimization of resources and execution time in an environment is described. In one embodiment, the method includes mapping of each task to obtain qualitative and quantitative assessment of each functional elements and variables within the time frame for execution of each tasks, representation of data obtained from the mapping in terms of a matrix of dimensions N×N, wherein N represents total number of tasks and reorganizing the tasks in accordance with the represented data in the matrix for the execution, wherein reorganizing the tasks provides for both static and dynamic methodologies. It is advantageous that the present invention determines optimal number of resources required to achieve a practical overall task completion time and can be adaptable to non computer applications.