17 results about "Time step" patented technology

The invention provides a time step determination method and device for solving a physical quantity of a transient physical process. The method comprises the following steps: acquiring first time step iteration information corresponding to a historical moment in the transient physical process; the first time step iteration information is used for representing the condition of iteratively updating the time step in the process of solving the convergence solution corresponding to the target physical quantity and the historical moment; the target physical quantity is a to-be-solved physical quantity in the transient physical process; determining a first predicted time step corresponding to the current moment according to the first time step iteration information corresponding to the historical moment and the first predicted time step corresponding to the previous moment; and iteratively updating the first prediction time step corresponding to the current moment to obtain a target time step enabling the target physical quantity to converge with a solution corresponding to the current moment. According to the method, the time step length enabling the physical quantity to converge in the transient physical process can be quickly determined.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a prediction characterizing an environment. In one aspect, a method includes obtaining a respective observation characterizing a state of an environment for each time step in a sequence of multiple time steps, comprising, for each time step after a first time step in the sequence of time steps: processing a network input that comprises observations obtained for one or mor preceding time steps to generate a plurality of acquisition decisions; obtaining an observation for the time step, wherein the observation includes data corresponding to modalities that are selected for acquisition at the time step, does not include data corresponding to modalities that are not selected for acquisition at the time step; and processing a model input that includes the observation for each time step in the sequence of time steps to generate the prediction.

Disclosed in the embodiments of the present disclosure are a non-terrestrial communication method and apparatus. The method comprises: acquiring, at the current time step, the data transmission rate between each terminal among at least one terminal and a network device; inputting state information at the current time step into a first model, so as to obtain a first action executed by the network device in the state of the current time step, wherein the first action is used for indicating the displacement of the network device at the current time step; and on the basis of the first action, determining the position of the network device at a subsequent time step, wherein the first model is used for determining the position of the network device at each time step within a first period, and the total data transmission rate of the at least one terminal is the largest within the first period. Thus, a network device can move rationally even when a terminal is moving, thereby effectively ensuring the throughput of a system, making the system achieve communication with a short delay and a high data rate, and improving the communication efficiency of the system.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting agent response times. One of the methods includes continually updating, at each time step of a plurality of time steps, an accumulated measure of surprise for the agent due to the movements of another entity in the traffic environment. A distribution of previously predicted trajectories is obtained at a previous time step for the other entity in the environment. A measure of surprise is computed from the perspective of the agent. An accumulated measure of surprise is updated for the time step using the computed measure of surprise for the agent. If the accumulated measure of surprise crosses a threshold at a particular point in time, a predicted response time for the agent is generated based on the particular point in time that the accumulated measure of surprise crosses the threshold.

The application provides a kind of embedded device system time synchronization method and system based on multiple bus interfaces, comprising: step 1: listening to data packet in various bus interfaces corresponding to each slave device;Step 2: analyzing data packet, extracting command code, obtaining interface identification of corresponding bus interface;Step 3: binding command code and interface identification and storing in list according to listening order;Step 4: traversing list, corresponding response is carried out according to command code type;Step 5: when command code type is time request, the system time of master device obtained is sent to slave device according to interface identification corresponding interface;Step 6: listening to data packet sent by master device;Step 7: analyzing data packet, extracting time for time;Step 8: time for time response is carried out according to time for time;Step 9: after slave device completes time for time, sending time for time completion data packet to master device.The application has high universality and expansibility, and reduces development cost.

The invention relates to a nuclear power digital twin multi-model engine time synchronization method and system. The method comprises the following steps: S1, establishing a global time reference, so that all model engines perform state updating and event triggering based on the same time reference; and S2, under the global time reference, setting a fixed time step length for all model engines so as to ensure synchronization and model engine calculation and interaction cycle alignment. Wherein the interaction cycle refers to a complete work cycle which must be completed by the model engine within a time step length. And S3, performing timestamp marking on events and communication data generated by all the model engines, and performing queue management on the events and the communication data according to timestamps. And S4, optimizing loading durations of all model engines based on a parallel loading mode and a resource pre-allocation mechanism. The method is used for dynamic interaction of multiple model engines in a nuclear power digital twin platform, global time logic consistency can be ensured, and model collaboration efficiency and real-time performance are improved.

A method (70) for implementing a surface code measurement circuit (50) on a lattice (46) of qubits (14) of a Margarner four-terminal lattice (66, 68) includes: assigning (70A), in a sequence of time steps, a set of single qubit projection measurement loops on each of three auxiliary qubits (14A) of the lattice; allocating (70B), in a sequence of time steps, a set of dual qubit projection measurement loops on each of the four data qubits (14D) of the lattice together with one of the three auxiliary qubits; allocating (70C), in a sequence of time steps, a set of dual qubit projection measurement loops on two or more pairs of auxiliary qubits selected from the three auxiliary qubits of the lattice; and advancing (70D) to traverse each of the time steps of the sequence, performing the allocated single-qubit projection measurement and dual-qubit projection measurement therein. In the method, a measurement circuit corresponds to a stabilizer of a surface code, and a measurement that generates a stabilizer operator is measured.

The invention provides a path planning method and device, a program product and a storage medium. In the method, a deep learning model comprises an encoder and a decoder; the encoder is used for generating a node-embedded graph embedding containing each node according to the graph structure; the decoder is used for predicting a prediction node yt of the tth time step at the tth time step so as to obtain a distribution path of the prediction node containing each time step; the method comprises the following steps: after the decoder predicts the prediction node yt, updating the predicted commitment time of the prediction node yt; and updating node embedding of the prediction node yt and updating graph embedding based on the updated predicted commitment time of the prediction node yt, so that the decoder executes prediction of the prediction node yt + 1 at the (t + 1) th time step according to the updated graph embedding and the updated node embedding of the prediction node yt.

This application discloses a method and related apparatus for predicting channel time series at future times. The method includes: firstly, acquiring the channel time series at M times to obtain X(t) m )={x n (t m Let X(t) = |m=1,2,…,M} (n=1,2,…,N), where N is the number of channel time series within a given time moment, and M and N are both positive integers. Next, based on the stated X(t)... m )={x n (t m Construct a mapping Ψ for each m = 1, 2, ..., M (n = 1, 2, ..., N). p , among which, Ψ p (X(t m ))=x n (t m+p‑1 (p=2,3,…,L), where L-1 is the number of time steps to be predicted, and X(t) is used as the time step to be predicted. m (m=1,2,…,M-p+1) as input, with x n (t m+p‑1 Using (m=1,2,…,M-p+1) as the output, we perform a Gaussian process regression (GPR) fitting to obtain Ψ. p (p = 2, 3, ..., L). Finally, X(t) m (m = M - p + 2, M - p + 3, ..., M) respectively input the Ψ p (p = 2, 3, ..., L), we get x n (t m+p‑1 This application generates predicted values ​​for (n = 1, 2, ..., N; m = 1, 2, ..., M; p = 2, 3, ..., L), thus achieving multi-step prediction of channel time series. Compared with existing single-step prediction, this application does not accumulate or amplify errors during the prediction process, resulting in more accurate prediction results.

The invention provides a GPU architecture simulation method and device, computer equipment and a medium, and relates to the technical field of hardware simulation, the simulation method comprises the following steps: monitoring operation indexes of a plurality of function modules in a preset time window; calculating a hotspot score of the function module according to the operation index; for each functional module, comparing the hotspot score of the functional module with a preset threshold value, and determining a simulation mode adopted for the functional module based on a comparison result; in response to determining that the fine simulation mode is adopted to simulate the functional module, updating an internal state machine of the functional module cycle by cycle; and in response to determining that the fast forward simulation mode is adopted to simulate the functional module, deriving an equivalent delay of the functional module, and crossing the corresponding simulation time step length based on the equivalent delay to skip updating of the internal state machine of the functional module period by period within the simulation time step length. The simulation overhead is reduced, and the overall simulation speed is increased.

The invention relates to a method, computer program and machine readable storage medium for planning the operation of a technical system in its environment. A computer implemented method for planning the operation of a technical system in its environment. The method comprises the steps of: i) obtaining state information comprising: a current domain, a time step and a current state; ii) determining the cost of reachable states from the current state by a heuristic method; iii) selecting a heuristic method from a predefined set of heuristic methods according to a policy depending on the state information and the cost; iv) selecting a state from the reachable states with the lowest cost returned by the selected heuristic method, and v) determining the operation of the technical system from the set of possible operations that the technical system has to perform to reach said state with the lowest cost returned by the selected heuristic method.

The application provides a dead time adjusting method, an adaptive ZVS control method and a switching power supply, comprising the following steps: 11) obtaining a first time length, collecting a second time length of a current period, and comparing the first time length with the second time length; 12) if the first time length is greater than the second time length, reducing the conduction time of a clamping tube by a preset time length in the next period; if the first time length is less than the second time length, increasing the conduction time of the clamping tube by the preset time length in the next period; if the first time length is equal to the second time length, keeping the conduction time of the clamping tube in the next period; and 13) returning to step 11) to adjust the dead time between the clamping tube and the main switch in each period. The application can accurately realize adaptive control of the dead time between the upper clamping tube and the main switch tube in a full load range, has high safety, small loss of the main switch tube, high system efficiency, and wide application range.

The invention discloses an atomic clock control method, device and equipment, a storage medium and a computer product, and relates to the technical field of atomic clock control, and the method comprises the steps: determining an operation temperature sequence of an atomic clock in a slidable time window and an atomic clock type when the atomic clock is in a holding stage; calling a corresponding punctuality model based on the atomic clock type and the temperature interval in which the operating temperature sequence in the slidable time window is located; inputting the operating temperature sequence in the slidable time window into the timekeeping model to obtain a predictive control word of the atomic clock in the next time step of the last time step in the slidable time window; and performing frequency correction on the atomic clock based on the predictive control word. The timekeeping precision of the atomic clock in the keeping stage is improved.

The invention relates to the technical field of cloud computing, and particularly provides a container migration method and device, equipment, a storage medium and a program product. The method comprises the following steps: under the condition that the current resource utilization rate of at least one dimension resource in a plurality of dimension resources of a to-be-migrated container is greater than or equal to a preset resource utilization rate, acquiring a resource utilization sequence of the plurality of dimension resources in a preset historical time period; determining the coding attention weight of each resource utilization sequence in a plurality of time steps by using the coding attention layer; processing each resource utilization sequence at each time step based on the coding attention weight by using a coder to obtain a coding hiding state of each time step; determining the decoding attention weight of each time step based on the coding hidden state of each time step by using the decoding attention layer; processing the coding hidden state of each resource utilization sequence at each time step by using a decoder based on the decoding attention weight to obtain a predicted resource utilization rate of each time step; and under the condition that the predicted resource utilization rate of the at least one resource utilization sequence in the last time step is greater than the preset resource utilization rate, migrating the to-be-migrated container to a target node in the plurality of nodes. According to the invention, unnecessary migration of the container is reduced, and fine scheduling of resources is realized.

A method executable by one or more processors includes: obtaining a measurement of a first variable at a current time step; using a first model to estimate a second variable at the current time step based on the measurement of the first variable; generating a control decision for a subsequent time step based on the measurement of the first variable and the estimate of the second variable using a reinforcement learning model; using a second model to predict a predicted value of the first variable for a subsequent time step based on the measurement of the first variable at the current time step; adjusting the control decision for the subsequent time steps based on constraints and future values ​​of the first variable; and controlling an actuator based on the control decision.

The embodiment of the invention provides a robot motion control method and device and a storage medium, and belongs to the technical field of robot control. The method comprises the following steps: in response to a received speed adjustment request, determining a speed adjustment coefficient at a preset target position; according to the speed adjustment coefficient, determining an interpolation duration step pitch of a current instruction issuing period to be planned; and according to the interpolation duration step pitch and a preset initial planning track, determining motion control parameters of the instruction issuing period to be planned, and after the motion control parameters of all the planned instruction issuing periods are issued to the target robot, sending the instruction issuing period to the target robot. The actual speed of the target robot is the speed adjustment coefficient times of the planned speed at the same position on the initial planned trajectory. According to the embodiment of the invention, speed adjustment can be performed based on the original trajectory of the robot.

A result of a qubit reading operation is determined by obtaining a photon detection count for a time step of the qubit reading operation performed on a qubit; based at least in part on the photon detection count for the time step, determining whether a bright threshold criteria is satisfied and / or determining whether a dark threshold criteria is satisfied. Responsive to determining that the bright threshold criteria is satisfied, and indication that the qubit is in a bright state is stored. Responsive to determining that the dark threshold criteria is satisfied, an indication that the qubit is in a dark state is stored. Responsive to determining that neither the bright threshold criteria nor the dark threshold criteria is satisfied, it is determined that a state of the qubit is undetermined.