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108 results about "Status function" patented technology

Status Function Returns a code that provides information about how a preceding function was executed. The value returned by Status varies according to the function it is reporting. Here is an example of the Status function being used to check the correct operation of an Iconv function call:

Distributed formation method of unmanned aerial vehicle cluster based on reinforcement learning

The invention discloses a distributed formation method of an unmanned aerial vehicle cluster based on reinforcement learning. The distributed formation method comprises the steps that step (1), a formation target state function and a simulation model of environmental uncertainty factors are obtained, and an unmanned aerial vehicle formation simulation model is established; step (2), under the interference of the environmental uncertainty factors, based on the unmanned aerial vehicle formation simulation model established in the step (1), a Q learning method is adopted to train the unmanned aerial vehicle cluster to update a flight strategy table; step (3), the value of the completion degree of the formation target state is calculated according to the obtained formation target state function, the obtained value of the completion degree of the formation target state is compared with a preset value of the formation target state, whether the formation target state is reached or not is judged according to the comparison results, if the formation target state is reached, a step (4) is performed, and if not, the step (2) is entered; and step (4), the updated flight strategy table is saved. According to the distributed formation method of the unmanned aerial vehicle cluster based on reinforcement learning, flight strategy parameters with adaptability are provided for the cluster, and the stability and robustness of the unmanned aerial vehicle cluster formation are guaranteed.
Owner:XIDIAN UNIV

Method and device for switching working state and sleep state of central processing unit

The invention provides a method and a device for switching a working state and a sleep state of a central processing unit. When that an operating signal is not present in the preset time is detected, configuration and recovery mode functions of the central processing unit and registers in each module in each mode, which is interacted with the central processing unit, are saved in a synchronous dynamic random access memory, the access addresses of the recovery mode functions are transmitted to a power management submodule of the central processing unit, the synchronous dynamic random access memory enters a self-refresh mode, and clocks and power supply of other submodules in the central processing unit except the power management submodule, and each module interacted with the central processing unit are switched off; and when an operating signal is received, the clocks and power supply of the central processing unit and each module interacted with the central processing unit are switched on, the synchronous dynamic random access memory exits the self-refresh mode, the recovery mode functions are acquired according to the access address of the recovery mode functions, and the recovery mode functions are executed so as to enter a working state before the sleep state.
Owner:WUXI ZGMICRO ELECTRONICS CO LTD

Structural reliability analysis-oriented common dynamic tracking sequence sampling method

The invention belongs to the field of structural reliability analysis, and specifically discloses a structural reliability analysis-oriented common dynamic tracking sequence sampling method. The method comprises the following steps of: establishing a structural ultimate state function, and determining a random variable and random variable distribution information; constructing a random point, andconverting the random variable and the random point into a standard normal state to determine a target sampling area; constructing a training point, forming a training data set and establishing a proxy model; dividing the target sampling area and recognizing a most sensitive area; exploiting the most sensitive area to obtain a new training point, updating the training data set and the proxy model,and calculating a prediction failure probability; and calculating maximum relative errors of all the local areas and a variation coefficient of the prediction failure probability, and judging whetherto terminate the sampling or not according to the maximum relative errors and the variation coefficient so as to complete the structural reliability analysis. The method has the advantages of being simple in operation step, high in efficiency and strong in self-adaptability.
Owner:HUAZHONG UNIV OF SCI & TECH

Dynamic coupling time varying failure rate analysis method of on-orbit space flexible gear mechanism

ActiveCN104008240AAvoid the problem of low reliability calculation accuracySuitable for highly nonlinear situationsSpecial data processing applicationsFailure rateEngineering
A dynamic coupling time varying failure rate analysis method of a on-orbit space flexible gear mechanism comprises the seven steps that firstly, according to the fact that a shaft in the on-orbit space flexible gear mechanism is an elastic body, a kinetic equation of the flexible shaft is built, and the finite element method is adopted for analysis; secondly, a gear kinetic equation is built; thirdly, a nonlinear kinetics equation of coupling of the flexible shaft and a gear in the on-orbit space flexible gear mechanism is built; fourthly, transmission stimulation analysis is performed on the space flexible gear mechanism; fifthly, the Newmark algorithm is adopted to calculate a dynamic load coefficient; sixthly, a gear bending stress reliability limit state function is built in the on-orbit space flexible gear mechanism; seventhly, dynamic reliability and failure rate analysis are performed on the space flexible gear mechanism. The method solves the problem that reliability calculating accuracy is low because of nonlinear factors of a traditional transfer matrix method and mode superposition method, and has engineering practical value for improving reliability of the on-orbit space flexible gear mechanism and other spacecrafts. The method is also suitable for other flexible gear mechanisms.
Owner:BEIHANG UNIV

Method and system for optimized handling of constraints during symbolic simulation

A method for verifying a design through symbolic simulation is disclosed. The method comprises creating one or more binary decision diagram variables for one or more inputs in a design containing one or more state variables and building a binary decision diagram for a first node of one or more nodes of the design. A binary decision diagram for the initial state function of one or more state variables of the design is generated and the design is subsequently initialized. Binary decisions diagrams for one or more constraints are synthesized. A set of constraint values is accumulated over time by combining the binary decision diagrams for the one or more constraints with a set of previously generated binary decision diagrams for a set of constraints previously used in one or more previous time-steps. A binary decision diagram for the next state function of the one or more state variables in the design is constructed in the presence of the constraints. The one or more state variables in the design are updated by propagating the binary decision diagram for the next state function to the one or more state variables and a set of binary decision diagrams for the one or more targets in the presence of the one or more constraints is calculated. The set of binary decision diagrams for one or more targets is constrained and the design is verified by determining whether the one or more targets were hit.
Owner:GLOBALFOUNDRIES INC

Bridge-ballastless track structure extreme temperature prediction method and system

The present invention relates to the technical field of probability statistical analysis and prediction of concrete temperature fields, and discloses a bridge-ballastless track structure extreme temperature prediction method and system, so as to avoid subjectivity of the conventional experience distribution method and the cumbersome derivation process of the first-order second-moment method and to obtain a relatively preciser temperature extremum in the case of a certain amount of data. The method disclosed by the present invention comprises: forming a statistical sample by means of measured bridge-ballastless track structure temperature data; calculating firt to fourth moments of the stastical sample to obtain a statistical feature of the sample; constructing virtual distribution by means of standard regular distribution to indirectly describe a distribution condition of the sample; solving a key parameter and feature estimation of the virtual distribution; constructing an extreme state function considering an extreme temperature, and giving an exceedance probability; and calculating first to fourth moments of the extreme state function by means of a reliability indicator formula, and reversing an extreme temperature value corresponding to the exceedance probability and giving a corresponding reoccurrence period.
Owner:CENT SOUTH UNIV

Method for synthesizing for non-probability time-varying reliability of link mechanism containing hinge gap

ActiveCN105760578AIncreased time-varying reliabilityEffectively account for and quantify cumulative effects over timeGeometric CADSpecial data processing applicationsMechanism synthesisDiscretization
The invention provides a method for synthesizing for non-probability time-varying reliability of a link mechanism containing a hinge gap. Firstly, according to the rod length and initial position of the link mechanism and specific characteristics of the hinge gap, a mathematic expression of a mechanism motion error function is obtained in combination with a vector method; secondly, rod length and hinge uncertainty information is introduced into an interval process model for establishing mechanism motion errors, and the time-varying uncertainty characteristic quantity of a mechanism motion precision limit state function is quickly calculated; thirdly, based on the first crossing theory and the dispersed strategy, index definition and solution of crossing failure possibility in any micro cyclic loading increment segment are completed, and then a time-varying reliability model is constructed; finally, the non-probability time-varying reliability index of motion precision serves as a target, non-probability reliability of mechanism existence conditions serves as a constraint condition, and synthesis of the non-probability time-varying reliability of the link mechanism containing the hinge gap is completed. In the process of mechanism synthesis, synthetic effects of uncertainty on the mechanism in a motion period are reasonably represented, and the time-varying reliability of the mechanism can be effectively improved.
Owner:BEIHANG UNIV

Method and system for optimized handling of constraints during symbolic simulation

A method for verifying a design through symbolic simulation is disclosed. The method comprises creating one or more binary decision diagram variables for one or more inputs in a design containing one or more state variables and building a binary decision diagram for a first node of one or more nodes of the design. A binary decision diagram for the initial state function of one or more state variables of the design is generated and the design is subsequently initialized. Binary decisions diagrams for one or more constraints are synthesized. A set of constraint values is accumulated over time by combining the binary decision diagrams for the one or more constraints with a set of previously generated binary decision diagrams for a set of constraints previously used in one or more previous time-steps. A binary decision diagram for the next state function of the one or more state variables in the design is constructed in the presence of the constraints. The one or more state variables in the design are updated by propagating the binary decision diagram for the next state function to the one or more state variables and a set of binary decision diagrams for the one or more targets in the presence of the one or more constraints is calculated. The set of binary decision diagrams for one or more targets is constrained and the design is verified by determining whether the one or more targets were hit.
Owner:GLOBALFOUNDRIES INC

Self-adaptive composite workflow method used in cloud computing environment

The invention relates to a self-adaptive composite workflow method used in a cloud computing environment. The method includes the following steps that a plan workflow and a rule construction class of a composite service object are established; an initial operation instance is converted into an initial computing unit through a rule constructor, wherein the computing unit comprises an actual computing instance, a return state function and a combination state function; the initial computing unit is operated, and the output end of the initial computing unit is provided with a new rule constructor and a state information sub-computing unit; context information in the sub-computing unit is updated according to the change of the computing environment after communication synchronization with a log library; the sub-calculation unit executes the computing instance according to the rule constructor and state information, and after execution is completed, the sub-computing unit generates a next-generation computing unit. The method mainly has the advantages that the operation robustness of the workflow is improved, the workload of a user is reduced, the method can be operated in multiple computing resources at the same time, and the utilization rate of the computing resources is increased.
Owner:SHENZHEN JINGTAI TECH CO LTD
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