42 results about "Secondary task" patented technology

In a coupled control mode, the surgeon directly controls movement of an associated slave manipulator with an input device while indirectly controlling movement of one or more non-associated slave manipulators, in response to commanded motion of the directly controlled slave manipulator, to achieve a secondary objective. By automatically performing secondary tasks through coupled control modes, the system's usability is enhanced by reducing the surgeon's need to switch to another direct mode to manually achieve the desired secondary objective. Thus, coupled control modes allow the surgeon to better focus on performing medical procedures and to pay less attention to managing the system.

The present disclosure relates to methods and tools for enhancing cognition and improving well being in an individual. The methods involve presenting to an individual a task to be performed, presenting to the individual an interference, and receiving inputs from the individual. Where the interference is a distraction, the individual is to ignore the interference. Where the interference is an interruptor, the individual is instructed to respond to the interruptor as a secondary task and is said to be multi-tasking. Inputs are then also received from the individual pertaining to this secondary task. The methods encompass iterations of these presentating steps and receiving of the input, and generation of analysis and / or feedback to the individual. The methods can further include conducting an analysis and / or generating feedback to the individual. The analysis can include a comparison of the performances with or without each type of interference.

A system for displaying the status of a plurality of threaded tasks operating in the background includes a status bar; a progress control bar in the status bar for a primary task operating in the background and including a progress bar and first and second action buttons; the progress bar visually representing progress of a primary background operation; the first action button being selectable by a user for initiating an action with respect to the primary background operation and the second action button being selectable by a user for alternately displaying and canceling a drop list of secondary progress control bars for secondary tasks also operating in the background.

A system and methodology that provides travel routes that minimize crash risk and add a safety factor to the determination of preferred routes of travel. Multiple elements of safety are considered in determining preferred routes of travel. This may include consideration of the user's physiological and / or psychological state during the time of travel. Alternatively or in addition, required driving maneuvers, roadway crash histories, demographic data and / or secondary task engagement while driving by the user may be considered in determining the optimal route of travel given the foregoing safety factors.

A server system having one or more processors and memory receives, from a client, a request to perform a first task. The server system determines whether a first slot in a primary task queue having a plurality of slots is available, where the first slot was selected in accordance with a slot-selection function designed to probabilistically distribute respective target slots for a plurality of successive tasks across a plurality of different non-consecutive slots in the primary task queue. In accordance with a determination that the first slot is available, the server system inserts the first task in the first slot in the primary task queue. In accordance with a determination that the first slot is unavailable, the server system inserts the first task at an entry point of a secondary task queue.

The invention discloses a method of data flow programming oriented to CPU / GPU heterogeneous clusters. The method comprises the steps of utilizing a data flow program to obtain a SDF diagram, conducting hierarchical secondary task division and scheduling on the SDF diagram, setting a stage number for each task unit to obtain the execution order of the task units; utilizing a CPU kernel or GPU mapping from the task unit to heterogeneous cluster nodes in the SDF diagram and a heterogeneous cluster multitask data communication model to obtain data communications between the task units, and obtaining target codes according to the execution order of the task units and the data communications between the task units. According to the method and system of data flow programming oriented to CPU / GPU heterogeneous clusters, the data communications are optimized with the parallelization of the data flow programs, and the overall execution performance of the programs is improved.

A task navigator or system generates a navigation interface display. In illustrated embodiments, the navigation interface display includes multiple task segments and a find segment. Tasks are segmented in the navigation interface based upon whether they are primary or secondary tasks.

The invention provides an implicit inter-sentence relationship analysis method based on a multi-task bi-directional long-short time memory network. The method comprises the following steps: obtaininga Chinese text-level semantic relationship corpus, comprising implicit inter-sentence relationship statements and explicit inter-sentence relationship statements; obtaining a Chinese text-level semantic relationship corpus. Using the method of multi-task learning, the input sequence of the model is obtained by using implicit inter-sentence relation recognition task as the main task and explicit inter-sentence relation recognition task as the auxiliary task. Enter both primary and secondary tasks into Bi-LSTM recurrent neural network, through learning the implicit relationship between sentencesrecognition model; The implicit inter-sentence relation recognition model adopts a fusion word embedding method and introduces a priori knowledge so as to make full use of text features and obtain abetter recognition result. The present invention fully utilizes the semantic connection between the implicit sentence-to-sentence relation sentence and the explicit sentence-to-sentence relation sentence, and solves the problem that the implicit sentence-to-sentence relation sentence does not have good characteristics, which leads to bad implicit sentence-to-sentence relation recognition effect.

An apparatus, system, and method are provided for sharing a cached security profile in a database environment. The apparatus, system, and method include a cache module for caching a security profile accessible to primary tasks and secondary tasks. An identification module is provided that distinguishes between primary tasks authorized to refresh the security profile and secondary tasks. A refresh module cooperates with the cache module and identification module to selectively refresh the security profile in response to a refresh request and expiration of the security profile such that an old version of the security profile is retained for use by secondary tasks until an execution window closes.

The invention relates to a dispatching method and system for multi-priority rendering resources based on message queues. The method comprises the steps of A, grouping task queues according to different types; B, storing task data in a database and generating task IDs, wherein the task IDs are progressively increased from small to large according to the sequence of the tasks; C, actively connecting with each task queue by a rendering agent, and dragging rendering task data from the task queues for rendering; D, judging whether there are tasks queuing in the task queues; E, dragging the tasks from the corresponding task queues for rendering by the rendering agent according to configuration after the rendering is finished, and performing the step D; F, searching other task queues and judging whether there are queuing tasks; and G, dragging the tasks from the corresponding task queues for rendering by the rendering agent according to configuration, and performing the step D. According to the multi-priority queue dispatching strategy, the emergency tasks can be handled preferentially, the rendering resources of the secondary tasks will not be deprived continuously, and the strategy is more flexible and smooth.

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.

The invention relates to a real-time control system for intelligent controller software, in particular to a foreground and background real-time control system with fixed cycle period. The real-time control system for an intelligent controller comprises foreground event treatment and background task treatment, of which the tasks are separated; the background task treatment is not responsible for AD sampling treatment, and only responsible for task treatments of computation, protection, releasing execution, keyboard display and the like; and the foreground event treatment is responsible for the asynchronous event treatments of timing interruption, AD sampling interruption and communication interruption, and ensures that the cycle period of the background task treatment is equal to the period of a power grid. The background task treatment is a multi-task execution control method, ensures the periodical execution of important tasks, preferential execution of sudden tasks, idle execution of secondary tasks and the like, and can realize the single-task batching multi-period execution aiming at the long-period tasks. The real-time control system is better than the prior art, and is high in control precision, and the control information of the real-time control system is difficult to lose.

The invention discloses a progress state data processing method and apparatus. The method comprises the following steps: receiving at least one secondary task state data; determining a task type of a secondary task and a primary task corresponding to the secondary task; respectively calculating primary task state data of corresponding to the secondary task by utilizing secondary task completion data according to a calculation way corresponding to the task type; determining a root task corresponding to the primary task; calculating state data of the root task corresponding to the primary task by utilizing each primary task state data according to the calculation way; and calculating progress state data by utilizing the root task state data as well as the weight of each root task. In the progress state data processing method, the primary task state data as well as the root task state data can be automatically acquired by only inputting the secondary task state data in the entire process by virtue of level-by-level calculation from bottom to top so as to obtain the progress state of the entire engineering, so that the existing working flow is simplified, and the working complexity is alleviated.

A method and arrangement are disclosed for allowing secondary tasks during semi-automated driving of a road vehicle having an infotainment system including one or more display units, and a semi-automated driver assist system having one or more sensors for acquiring data of a road ahead. A confidence of the ability of the semi-automated driver assist system to control the road vehicle autonomously is determined from at least acquired data of the road ahead. A viewing direction of a driver of the road vehicle is determined by using a driver monitoring camera. Autonomous control is allowed if the viewing direction of the driver is determined to be towards the road ahead or towards a display unit of the infotainment system and the confidence is determined to be above a confidence threshold, otherwise any ongoing autonomous control is cancelled and the driver urged to assume control of the road vehicle.

The invention discloses a multi-task depth feature space attitude face recognition method, which comprises the following steps: firstly, carrying out angle measurement on an attitude face image, and extracting image depth space features by utilizing a residual network; then, adding a residual transformation mapping module to realize transformation from the side face depth feature to the front face depth feature, so that a main task of the network is formed; then, adding a module on the basis of an original residual transformation mapping module to realize reconstruction of original side face depth characteristics so as to realize feedback which is a secondary task of the network; and finally, using the cosine similarity to measure the similarity between the to-be-compared face and the depth feature representation of all people in the database, so that face authentication recognition is carried out. According to the method, the robust representation of the front face depth space feature can be obtained according to the side face depth space feature, so that the side face recognition rate is greatly improved, and the method has a very good application prospect in attitude face detection and recognition.

The invention provides a multi-task breakpoint debugging method based on an improved task scheduling mechanism, comprising the following steps: a) according to the coordination and management requirements among multi-operation tasks, a first-level task control block is defined, and one or more first-level task control blocks constitute a first-level task control queue; (b) defining a secondary task control block according to the operation requirement of a single operation task and the storage requirement of breakpoint information; C) Establishment of a first-level task management mechanism among multi-computing tasks; (d) according to the category of breakpoint debugging function, establishing corresponding instruction preprocessing mechanism for each debugging instruction, realizing the conversion of debugging instruction to structured task control description and adding the debugging instruction to the secondary task control block; E) defining a plurality of operation states of the operation tasks, and realizing the conversion between different operation states of the operation tasks. The invention ensures the execution of the operation tasks with high priority and the full utilization of the processor resources to the maximum extent, and realizes the breakpoint debugging function of the control logic.

A system and method for location centric activity leveraging convergence control of vectors having both a time and space domain. Additionally, the system executes the control of mobile and dynamic resources by controlling the dispatch of primary tasks with intermediate secondary tasks to enhance system efficiency and effectiveness. The location convergence of multiple mobile resources is vital to the realization of high-accuracy location determination and therefore high-accuracy inference and contextual relevance.

The invention provides a logistics Web service dynamic optimizing and combining method. The method comprises the steps of building, based on a user logistics demand, a logistics service process consisting of multiple logistics secondary tasks; determining a candidate logistics Web service according to a function demand of a current logistics secondary task, and determining a QoS attribute of the candidate logistics Web service and a quantity demand of the logistics secondary task on service resources; screening out logistics Web services meeting the quantity demand of the logistics secondary task on service resources; screening out logistics Web services meeting local QoS constrains corresponding to the logistics secondary task, so as to form available logistics Web services for the logistics secondary task; and evaluating QoS of the available logistics Web services for the logistics secondary task nodes, and selecting the logistics Web service with highest QoS evaluation value to execute the current logistics secondary task. Through adoption of the method, a logistics Web service optimized combination meeting global QoS demands of the user and guaranteeing service resources is built dynamically, rapidly and reliably.

The invention relates to a method for estimating the attentional resources invoked for the execution of a primary task and / or attention sharing strategies developed by an individual, said method being implemented in a mobile terminal and being based on the utilization of the dual-task paradigm, noteworthy in that it comprises the following steps: —Evaluation (10) of first performance ratings of the individual during the execution of a primary task alone, —Evaluation (20) of second performance ratings of the individual during the execution of a secondary task alone, —Evaluation (30) of third performance ratings of the individual during the simultaneous execution of the primary and secondary tasks, —Estimation (40) of the attentional demand required for the execution of the primary task and / or of the effect (beneficial or negative) of a secondary task on the control mechanisms involved in the execution of the primary task and / or attention sharing strategies developed by an individual by comparing the first, second and third performance ratings evaluated during the previous steps.

A primary task manager, which is a local task manager, can perform a distributed task on a local server. If the performing of the task with the local task manager succeeds, the distributed task can then be propagated to at least one secondary task manager, which is a remote task manager. The remote task manager is capable of performing the distributed task. If the performing of the task with the local task manager fails, an undo task that is associated with the distributed task can be performed.

The invention provides a GPU sharing control method, a GPU sharing control device and a storage medium. The GPU sharing control method comprises the steps that in response to starting of all deep learning tasks, all the deep learning tasks are divided into main tasks or secondary tasks, and the number of the main tasks is not larger than one. And determining operation stage information of each deep learning task, wherein the operation stage information is divided into an operation stage occupying the GPU and an operation stage not occupying the GPU. And judging whether the main task is in a GPU operation occupying stage or not. And when the main task is in the stage of occupying GPU operation, controlling the GPU to operate the main task. And when the main task is not in the GPU operation occupying stage, controlling the GPU to operate the secondary task. Through the method provided by the invention, it can be preferentially guaranteed that the GPU can be controlled to prioritize the main task when the main task is in the GPU operation occupying stage according to the operation stage information of each deep learning task, and thus the Qos of the main task is guaranteed. Meanwhile, when the main task is not in the GPU operation occupying stage, GPU computing power can be fully utilized, and the utilization rate of the GPU is increased.

The invention discloses a task execution method and device, electronic equipment and a storage medium. The task execution method comprises the steps of determining the type of a timing task to be executed; if the to-be-executed timed task is the first-level task, calling an idle thread in a thread pool to execute the to-be-executed timed task under the condition that the execution starting momentof the to-be-executed timed task is reached; if the timing task to be executed is a secondary task, judging whether the first number of the idle threads in the thread pool is greater than the second number of the first-level tasks which are not executed in the plurality of timed tasks or not, and calling the idle threads to execute the timed tasks to be executed under the condition that the firstnumber is greater than the second number and the execution starting time of the timed tasks to be executed is reached. Therefore, the real-time performance of timed task execution can be ensured as much as possible under the condition of insufficient thread resources.

The invention relates to a processing unit task scheduling method and device, and the method comprises the steps: judging whether a prediction assertion for an idle processing unit related to a scheduling opportunity exists or not when the scheduling opportunity arrives; during prediction assertion, obtaining a target task pair associated with the prediction assertion, and scheduling a secondary task in the target task pair to the idle processing unit for execution; the main task is scheduled to the first processing unit for execution after the prediction assertion is created. From the perspective of task demand condition estimation and hardware resource management, the fusion range of tasks and resources is expanded by constructing the target task pair, the balance between task demands and hardware resources is achieved on the basis of achieving good task sharing execution, and finally the task scheduling efficiency of the processing unit is improved.

The present disclosure provides a method for improving mobile-phone user experience (UX) design for multitasking with priority and layered structure, including: receiving data for opening a task; determining a priority ranking of the task; and executing the task and displaying the task on one of at least a portion of a screen area and in a task menu based on the priority ranking of the task. When a number of opened tasks is at least two, the opened tasks includes a major task having a highest priority ranking and a plurality of minor tasks having lower priority rankings, the major task being executed and displayed on at least a larger portion of the screen area.

The invention provides a task scheduling method and device and electronic equipment, and relates to the technical field of computers. The method comprises the steps of building a primary task pool and a secondary task pool; receiving an appointment execution request of a task, and putting the task into a secondary task pool; polling whether a first target task exists in the secondary task pool or not according to first preset time; when the first target tasks exist in the secondary task pool, taking out a first preset number of first target tasks from the secondary task pool and putting the first target tasks into the tail of a primary task pool; polling whether a second target task exists in the main task pool or not according to second preset time; and when the second target tasks exist in the main task pool, giving priority to a second preset number of second target tasks in the main task pool. According to the invention, the problem of system jamming caused by multi-task concurrent execution is effectively solved, and the problem of priority during multi-task appointment concurrent appointment application is effectively solved.