75results about How to "Improve task performance" patented technology

This invention concerns a method for measuring cognitive load of a person in performing a task. In other aspects the invention can be expressed as a computer and as software that are used to perform the method. The computer (50) has an interface having a plural number of unimodal input (20, 30 to 40) and output devices, and a cognitive load analyzer (50). The analyzer comprises a receiver to receive input data signal streams (25, 35 and 45) from respective devices (20, 30 and 40). A classifier (56 to 59), (66 to 69) and (76 to 79) is also provided to identify predetermined “meta-interaction patterns” from the streams (25, 35 and 45), and to weight the identified predetermined “meta-interaction patterns” to produce respective weighted outputs. A combiner (80) to fuse the outputs to produce a measure indicating the person's cognitive load.

Methods are disclosed that dynamically improve soft real-time task performance in virtualized computing environments under the management of an enhanced hypervisor comprising a credit scheduler. The enhanced hypervisor analyzes the on-going performance of the domains of interest and of the virtualized data-processing system. Based on the performance metrics disclosed herein, some of the governing parameters of the credit scheduler are adjusted. Adjustments are typically performed cyclically, wherein the performance metrics of an execution cycle are analyzed and, if need be, adjustments are applied in a later execution cycle. In alternative embodiments, some of the analysis and tuning functions are in a separate application that resides outside the hypervisor. The performance metrics disclosed herein include: a “total-time” metric; a “timeslice” metric; a number of “latency” metrics; and a “count” metric. In contrast to prior art, the present invention enables on-going monitoring of a virtualized data-processing system accompanied by dynamic adjustments based on objective metrics.

The invention discloses a multi-sensor cooperative tracking joint optimization decision method and aims at providing the optimization decision method with high calculating efficiency and an accurate optimization decision parameter. The method is characterized by predicting the target position information and the fusion measurement information of a sensor in a decision period by a multi-sensor cooperative tracking system, and obtaining the fusion measurement state of a decision cycle moment and a fusion measurement covariance; using multi-source data fusion algorithm to calculate the fusion tracking error of multi-sensor cooperative tracking to a target; according to local aircraft navigation information and radar detection information to the target, calculating the azimuth and the pitch angle of a local radiation source relative to the other aircraft and the tracking and positioning error of the local radiation source detected by the other aircraft; taking the fusion tracking error ofmultiple sensors to the target as a constraint condition and taking a target matching relationship and the like as an optimization decision parameter; establishing a multi-stage and multi-constrainedcooperative tracking decision model; and solving a multi-stage sensor optimization decision and the optimization decision parameter.

A system for sharing a physical display screen among multiple applications on a mobile platform includes an Internet-connected client device and software executing on the client device from a non-transitory physical medium, the software providing a first function assigning dominancy to one of the multiple running applications, a second function mitigating application background transparency among the multiple running applications, a third function establishing a messaging mechanism and protocol between the multiple running applications, and a fourth function enabling the dominant application to intercept digital input directed toward individual ones of the multiple running applications and to dispatch the input to the appropriate application.

The invention discloses a heterogeneous aircraft multi-task cooperation allocation method considering a timing sequence constraint, relates to a heterogeneous aircraft multi-task cooperation allocation method, and belongs to the field of aircraft task planning. An aircraft type is obtained according to tasks, and a flight performance parameter is extracted according to the aircraft type; a heterogeneous aircraft multi-task cooperation allocation model considering the timing sequence constraint is established; and the heterogeneous aircraft multi-task cooperation allocation model considering the timing sequence constraint is solved by utilizing a genetic algorithm considering the time sequence constraint, and a heterogeneous aircraft multi-task cooperation allocation scheme meeting the task time sequence constraint and maximum efficacy can be obtained. The invention provides a task allocation method capable of planning the allocation scheme meeting the task time sequence constraint and the maximum efficacy for a heterogeneous aircraft, task execution time can be effectively shortened, and task efficacy is improved. The heterogeneous aircraft multi-task cooperation allocation method is suitable for an observation-hitting-evaluation fight, wide-area search and a damage or air defense suppression task, and has wide engineering application value.

According to some embodiments, system and methods are provided, comprising receiving one or more mission objectives for an aircraft mission, and condition data at a mission execution module; generating, via the mission execution module, a mission plan executable to address at least one of the one or more mission objectives via manipulation of a power-thermal management system (PTMS); receiving the generated mission plan at the PTMS directly from the mission execution module; and automatically executing the generated mission plan to operate an aircraft. Numerous other aspects are provided.

The invention relates to flexible operation arms, in particular to a two-section flexible operation arm. The two-section flexible operation arm comprises two power sources, a power source connection fixing rack, a first-section flexible arm and a second-section flexible arm. The two power sources are arranged on the power source connection fixing rack. Each power source comprises three motors arranged uniformly. A wiring reel is fixedly arranged at the output end of each motor. A spiral spring serves as the first-section flexible arm. One end of the first-section flexible arm is connected withthe power source connection fixing rack. The other end of the first-section flexible arm is connected with one end of the second-section flexible arm. A spring wire of the spiral spring is provided with three sets of wire leading holes. Two pulling ropes are arranged in each set of wire leading holes correspondingly, and one ends of the two pulling ropes are fixed to the other end of the first-section flexible arm, and the other ends of the two pulling ropes penetrate through the corresponding wire leading holes to be fixed to the wiring reel of the corresponding power source. The two-sectionflexible operation arm is flexible in structure, accurate in locating and capable of conducting fine operation and has the characteristic of environmental adaptability.

The invention discloses a spacecraft ACS on-orbit reconstruction method oriented to multi-task multi-index optimization constraints, and belongs to the technical field of spacecraft attitude control.According to the method, for a spacecraft with on-orbit time relevant multi-task constraint, the state and the motion under the multi-task constraint are defined, a utility function about the state-motion is designed and a performance index function is determined, and then an optimal reconstruction strategy in the form of the HJB equation is obtained. Aiming at the problem that the HJB equation isdifficult to solve accurately, an approximate solution method based on the BOADP is provided, the task network and the energy consumption network are designed for estimating two performance index functions, and the convergence of neural network estimation errors is achieved through an iterative learning algorithm, so that an approximate solution of the HJB equation is achieved, and then an optimal reconstruction strategy is obtained, and the maximization of the task earnings is achieved by controlling the energy consumption as few as possible. According to the invention, the multi-task completion capability and the fault response capability of the spacecraft are improved.

Typical inventive practice allocates functions between human and robot, interacting in an unmanned system. Analyses are performed of: mission system; function allocation; and, human-robot interaction automation allocation. Mission system analysis includes: identification of mission system needs, mission system integration parameters, and mission capability configuration; and, mission system report creation (at least partially based on these identifications). Function allocation analysis includes: mission activity analysis; functional allocation report creation (at least partially based on the mission activity analysis); unmanned system safety analysis; and, unmanned system safety report creation (at least partially based on the unmanned system safety analysis). Human-robot interaction automation allocation analysis includes: identification of unmanned system capabilities, unmanned system mission safety considerations, and human-robot interaction configuration; human-robot interaction test-and-evaluation plan creation (at least partially based on these identifications); human-robot interaction performance evaluation; and, human-robot interaction configuration final report creation (at least partially based on the human-robot interaction performance evaluation).

A robot system is provided that is configured for use on-board a vehicle during a trip of the vehicle. The vehicle includes a cabin. The robot system includes a body, a transportation system, a communication link, an interaction system, and a control system. The transportation system is coupled to the body and configured to move the body through at least a portion of the cabin. The communication link is configured to receive trip information. The interaction system is configured to interact with at least one of a passenger or a crew member disposed within the cabin during trip. The control system is configured to operate the robot system to perform a crew assistance task during the use of the vehicle responsive to at least one of the trip information or information received from the at least one of the passenger or crew member.

The invention discloses a device for quickly guiding instruction transmission of an unmanned aerial vehicle based on a manned aerial vehicle, and belongs to the field of aviation electronic automation. The device comprises a touch guide module, a voice guide module, an instruction classification module, an instruction decoder, an integrated task processor and an execution mechanism; the device performs fast command and guide, so that the convenience and the flexibility of operation and control of an aviator can be greatly improved under a high decision pressure, the instruction input efficiency is improved, and the advantage opportunity of defense is obtained; the device gets rid of the tedious operations of the target interception mode of the traditional manned aerial vehicle to guide the unmanned aerial vehicle, simplifies the operation flows of the aviator, realizes the fast transmission of multiple unmanned aerial vehicle guide instruction based on a manned aerial vehicle cabin, and guides the unmanned aerial vehicle to lock a target and accomplish tasks. In a rapidly changing task environment situation, the operation time is shortened, the initiative is fought for, the misoperations of the manual operations of the aviator under high pressure can be avoided, the risks are controlled, the pressure is relieved, and the efficiency of accomplishing the tasks is improved.

According to the various features characteristics and embodiments of the present invention which will become apparent as the description thereof proceeds, the present invention provides partially fingered gloves intended to increase the overall performance in sports activities including but limited to football and golf. Primarily because of its unique finger configurations, and/or grip enhancers, and/or hand protective properties, as well as providing an strategically located aperture exposing a portion of a user's forefinger, the present invention makes a glove more operable in various sports activities.

Described is a system for augmenting team performance via individual neurostimulation. An assessment is generated for each team member of a team while the team member is performing a behavioral task using neuroimaging data. A target brain state is selected in team members for team performance enhancement. The target brain state is associated with specific brain regions, and the system determines a HD-tCS neurostimulation needed to reach the specific brain regions to induce the target brain state in the team members. The determined HD-tCS neurostimulation is applied to the team members while simultaneously sensing, via real-time neuroimaging, neural activity in each team member while the team member performs a behavioral task. Team performance is enhanced by adjusting the HD-tCS neurostimulation of each team member, based on the sensed neural activity, to direct each team member toward the target brain state.

The invention discloses a hypersonic flight vehicle reentry cooperative guidance method based on reinforcement learning, and particularly relates to a hypersonic flight vehicle reentry cooperative guidance method based on reinforcement learning. Establishing a hypersonic velocity reentry kinetic model and a multi-constraint reentry model; designing an attack angle profile and a height energy profile, and obtaining analytic solutions of the attack angle and the heeling angle; intelligent decision making is carried out on heeling angle symbols according to a DQN algorithm, the action space of the heeling angle symbols is expanded, and a step-shaped mixed reward function is designed by considering time collaboration and falling angle collaboration; the hypersonic aircraft reentry cooperative guidance method based on intelligent reinforcement learning is obtained by training a heeling angle intelligent decision-making model offline and giving cooperative time and a cooperative fall angle to obtain a guidance instruction online, the defect that in an aircraft guidance strategy, heeling angle symbols are turned frequently is effectively overcome, time cooperation and fall angle cooperation are met, and the guidance efficiency is improved. A simulation experiment verifies that the method can well consider time and fall angle cooperation to carry out multi-hypersonic-velocity aircraft guidance.

According to the various features characteristics and embodiments of the present invention which will become apparent as the description thereof proceeds, the present invention provides partially fingered gloves and the use of said gloves, intended to increase the overall performance in sports activities including but limited to football and golf. Because of its unique finger configurations, grip enhancers, and/or its hand protective properties, the present invention makes a glove now operable on a football quarterback's throwing hand and on golfers dominant hand, for example.

The invention discloses a multi-robot communication system based on 2.4G wireless radio frequency chips, in particular to a multi-robot communication system of which multiple robots are capable of detecting environmental information in a dangerous environment and transmitting the information in a specific point-to-multipoint communication mode. The system comprises at least three robots; each robot at least comprises a body, a controller, a motion mechanism, a sensor assembly and one of the 2.4G radio frequency chips, wherein the sensor assembly is connected with the controller for collectingthe environmental information; one of all the robots is used as a host robot, and the rest robots are used as slave robots; and point-to-multipoint communication is achieved between the host robot andthe slave robots. The system is applicable to dangerous scenes, engineering personnel can remotely detect environmental data, the breadth of environmental information detection is increased advantageously, the information detection efficiency is improved, and the personal safety of engineering personnel is ensured.

The invention relates to a zero sample image recognition method based on prototype domain alignment and cross-modal reconstruction. The method comprises the following main steps: extracting visual features of visible samples; obtaining visual distribution information of the visible images through a feature distribution encoder; obtaining generated visual features through a feature generator; training and optimizing parameters of the model of the feature generator by designing distribution regularization loss, domain consistency loss, visual reconstruction loss, adversarial loss and semantic reconstruction loss to obtain a trained feature generator; inputting the unseen class semantic features into a trained feature generator to obtain generated unseen class visual features; training an unseen class classifier by using the generated unseen class visual features; and utilizing the trained unseen class classifier to predict the unseen class image. According to the method, through prototype domain consistency alignment and cross-modal reconstruction, the generated visual features are closer to real visual features, and more category discrimination features are included.

The invention discloses an unmanned aerial vehicle cluster task reliability analysis method based on a cluster fault, and the method comprises the following steps: S1, searching a cluster fault from the aspects of a functional entity, information interaction, a use mode and a process, and determining a fault type needing to be considered at each level of an unmanned aerial vehicle cluster; S2, obtaining fault causes of cluster faults through fault criteria; s3, measuring the reliability of the unmanned aerial vehicle cluster according to the cluster fault, decomposing a cluster task into stage tasks, dividing a certain stage task of the cluster into a plurality of sub-stage tasks which are continuous in time and are not overlapped with one another, constructing a reliability model for each sub-stage task, calculating the reliability of the cluster task, and finding out reasons influencing the reliability of the task. According to the method, main reasons influencing the task reliability in stage tasks are found out, feedback is provided for unmanned aerial vehicle equipment system design and task planning, and the method is used for guiding selection of equipment entities, correction of performance parameters and adjustment of hierarchical structure relations.

A multiple channel diffuser having an annular shaped radial inlet and a tangential outlet, and a plurality of separated diffuser channels connecting the radial inlet to the tangential outlet such that a flow does not mix. A tap-off passage can be used to provide flow to a gas generator or a preburner. A cross-over passage can also be used to provide flow from a first diffuser to a second diffuser.

Example implementations described herein are directed to the transmission of hand information from a user hand or other object to a remote device via browser-to-browser connections, such that the hand or other object is oriented correctly on the remote device based on orientation measurements received from the remote device. Such example implementations can facilitate remote assistance in which the user of the remote device needs to view the hand or object movement as provided by an expert for guidance.