25 results about "Time variations" patented technology

Examples described herein provide a computer-implemented method that includes receiving a plurality of profiles corresponding to at least one of a plurality of virtual machines. Each of the plurality of profiles defines a validity period and an allowable variation of time. The method further includes determining, based at least in part on the validity period, a subset of the plurality of profiles that are active. The method further includes calculating a uniform distribution for virtual clocks of each of the subset of the plurality of virtual machines and determining a desired offset. The method further includes adjusting a virtual clock frequency of a virtual clock based at least in part on the desired offset and the allowable variation of time. The adjusting causes a difference between a real time-of-day clock and a virtual time-of-day clock of the at least one of the virtual clocks to increase.

This invention discloses a method for predicting robot motion under time-varying delay conditions. The method determines the number of secondary predictors and their gain parameters based on the maximum time delay, the robot's initial joint position, and the initial joint velocity. The time-varying prediction interval of each secondary predictor is determined by the time-varying delay magnitude. The robot's state from time-delayed motion to the current motion interval is divided into motion sub-states, the same number as the number of secondary predictors. Secondary predictors are constructed, the same number as the number of motion sub-states. The secondary predictors are connected in series, with the time-varying delay robot joint position and velocity signals as input to the first secondary predictor, and the predicted values ​​output by the previous secondary predictor as input to each subsequent secondary predictor. The last secondary predictor outputs the predicted values ​​of the robot's actual joint position and actual joint velocity. This invention offers high prediction accuracy, wide applicability, ease of engineering application and promotion, and contributes to the development of robotics technology.

This invention discloses a method, apparatus, and storage medium for short-term prediction of TSP concentration in ports. The short-term prediction method includes: acquiring historical monitoring data of TSP concentration and cleaning the concentration data; decomposing the cleaned TSP concentration data into N sets of time series data, wherein the first N-1 sets of time series data have periodic variation characteristics, and the Nth set of time series data has random fluctuation characteristics; constructing N-1 periodic time series prediction models and one random time series prediction model for each of the N sets of time series data; and finally, summing the prediction results of the N time series prediction models to obtain the predicted port TSP concentration. This invention can solve the problem of decreased prediction accuracy caused by the non-stationarity and randomness of TSP concentration data over time, improve the reliability of short-term prediction results of port TSP concentration, and is of great significance for the prevention and control of air pollution in ports.

The invention discloses a variable-amplitude and variable-frequency galvanometer swing welding method and system, and the method comprises the following steps: inputting welding parameters which comprise a welding path starting point coordinate, a welding path ending point coordinate and a movement speed in a welding direction; generating a welding baseline track according to the parameters, and generating a corresponding time sequence according to a preset interpolation period; according to the time sequence, a galvanometer swing amplitude parameter and a galvanometer swing frequency parameter which change along with time are generated, and at least one of the swing amplitude parameter and the swing frequency parameter is a change parameter in the welding process; substituting the changed swing amplitude parameter and the swing frequency parameter into a galvanometer swing control model, and calculating to obtain a swing track point set corresponding to the time sequence; and according to the swing track point set, a galvanometer is driven to execute swing welding, so that the swing amplitude and / or the swing frequency are / is variable in the welding process. According to the invention, the swing amplitude and / or swing frequency can be adjusted to improve the welding flexibility and adaptability.

A machine-learned architecture may predict a set of spatially-diverse paths that an object may take in the future. The paths generated by this architecture may be time-invariant (e.g., not identifying a time at which the object may occupy a position along one of these paths) but can be used by a second machine-learned model to predict progress in time along these paths. This segregation of the spatial paths and progress in time along the paths improves the accuracy of the ultimate prediction and better captures rare object behavior.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may report a time-domain model and parameters to indicate how one or more characteristics, such as a phase, of ports used to transmit reference signals can change across time. For example, the UE may determine one or more sets of transmission parameters associated with a reference signal type, where the one or more sets of transmission parameters can enable a receiving device to bundle reference signals of the reference signal type. The UE may transit an indication of these one or more sets of transmission parameters to the receiving device, where the indication can be associated with how a characteristic of the ports of the UE varies across time. Based on the indication of one or more sets of transmission parameters, the receiving device may receive reference signals and bundle (e.g., combine) the reference signals.

In the case of a potential detection, by a first near field communication (NFC) device, of a second NFC device, a validation of this detection is performed according to the time variation gradient of at least one environmental condition of the first device. A value of one of an amplitude and an phase of a signal across an oscillating circuit of the first NFC device is compared to first thresholds to potentially detect the second NFC device. Validation of detection occurs when one of the amplitude and the phase of the signal is outside the first thresholds adjusted as a function of the time variation gradient. Validation detection also occurs when one of the amplitude and the phase of the signal adjusted as a function of the time variation gradient is outside the first thresholds.

There is provided an interactive user interface (1100) for time series planning, evaluation and prediction system to be employed for obtaining audit evidence, wherein audit evidence is to be obtained based upon input data pertaining to given use case, input data being in time structured form, interactive user interface comprising: (i) input interface element that enables user to input plurality of audit parameters; and (ii) output interface element that enables time series planning, evaluation and prediction system to present to user: (a) time series chart representing variation in response variable with respect to time, wherein time series chart indicates upper acceptance bound and lower acceptance bound and is generated for plurality of samples associated based upon input data, plurality of audit parameters and at least one explanatory variable; and (b) key items, wherein key items are identified as samples that fall outside upper acceptance bound and lower acceptance bound in time series chart.

The method can involve displaying a multitude of parallel graphs, each extending linearly from a first end to a second end along a time axis spanning incremental time values. Each graph represents a sequence of severity levels for a given parameter, encoded as different colors or shades across these incremental time values. The incremental time values ​​are the same for each of the multiple graphs, so severity levels oriented perpendicular to the time axis correspond to time points. The resulting dashboard can help transform complex analyses into key performance indicators and / or identify areas of interest in large databases.

This invention provides a method, apparatus, equipment, and medium for production prediction based on time-varying reservoir parameters. The method includes the following steps: S1, establishing a variable decline exponential production decline model for tight gas reservoir wells; S2, collecting historical gas production data of tight gas reservoir wells, and confirming the second undetermined characteristic parameter β and establishing a first linear model based on linear fitting of lnq and t / (lnt)β, wherein the slope of the first linear model is -α and the intercept is lnq. i Value; and S3, confirming the theoretical initial output q based on the first linear model. i The invention uses a first undetermined characteristic parameter α to predict gas well production using the variable decline exponent production decline model. This invention better reflects the production decline law of tight gas wells, is simple to operate, and has higher prediction accuracy than traditional decline models with a constant decline exponent. It can be widely used for production decline prediction in tight gas reservoirs.

Provided are a communication method, device and system, the method being applicable to a sensing scene, such as a sensing integrated scene, the method comprising: determining N first time units and N second time units, a time period occupied by the N first time units and a time period occupied by the N second time units having an overlapping portion, N being a positive integer greater than or equal to 1; the sensing signal is sent on the N first time units through the first wave beam, the sensing signal is sent on the N second time units through the second wave beam, and the first wave beam and the second wave beam are different wave beams. In the method, different time units correspond to different beams, so that the scanning time interval for sensing the beams of the same target is shortened, the influence of the change of target characteristics along with time and wireless channel aging on target sensing is reduced, and the sensing accuracy is improved.

This invention provides a circular queuing and forwarding method based on shadow queues to absorb time variations, relating to the field of time-sensitive networking technology. The method includes: S1, filtering data frames that meet real-time service conditions; S2, combining the arrival time of the data frame, the global synchronization clock, and the period offset, controlling the gating time window opening and closing state of the sub-queue to be delayed relative to the main circular queue, and selecting a target queue to receive the data frame; S3, generating period tags for the data frames in each target queue; and S4, sending the data frame based on the period tags. This invention, based on the circular queuing and forwarding mechanism, introduces a shadow queue composed of two sub-queues, and sets the gating time window opening and closing state of the sub-queue to be delayed relative to the main circular queue. This allows the sub-queue to receive delayed data frames and catch up with normally arriving data frames when sending data frames, thus ensuring that the data stream is transmitted within a precise time period.

Apparatuses and techniques for implementing aspects of a time-varying threshold for usage-based disturbance mitigation. In an example aspect, usage-based disturbance circuitry of a memory device utilizes a threshold that varies over time for detecting conditions associated with usage-based disturbance. By utilizing the time-varying threshold, the usage-based disturbance circuitry can reduce a probability of a waterfall event causing a denial-of-service (DOS) situation. In particular, the time-varying threshold can spread out the refreshing of rows over a longer time period. This enables the memory device to have sufficient resources to service other memory requests while also mitigating usage-based disturbance. In example implementations, the threshold is at least partially randomized, which can make it challenging for a malicious actor to identify and overcome the usage-based disturbance mitigation techniques. Also, techniques for generating the time-varying threshold can be implemented without appreciably increasing a size or cost of the memory device.

An object of the system according to the embodiment is to appropriately manage a time period during which a child plays alone and to allow the child to continue playing without getting bored.SOLUTION: A system includes a play proposal unit, a time management unit, and a variation provision unit. The play suggestion unit suggests an appropriate play based on the age and interest of the child. The time management part manages time so that the child plays only for the time designated by the parent. The variation providing unit provides a play variation so that the child does not get bored.SELECTED DRAWING: Figure 1

The embodiment of the invention provides a time delay processing method and a related device, and relates to the technical field of communication. The method comprises: a first network device sending first information to a terminal device, the first information comprising an initial offset and an offset coefficient, the initial offset being used for indicating an offset of a transmission delay of a second network device relative to a transmission delay of the first network device at a first moment, the offset coefficient is used for indicating the change rate of the offset along with the time change, and the offset is caused by the change of the relative position of the second network equipment and the first network equipment. And the terminal device determines a first offset according to the first information, and compensates the time domain position of the first measurement window according to the first offset to obtain a second measurement window. In this way, the offset of the transmission delay caused by the change of the relative position of the second network device and the first network device can be compensated, and the success probability of cell switching is improved.

The invention relates to the technical field of somatosensory interaction, and particularly discloses a physical abnormality monitoring method based on wearable somatosensory interaction equipment, which comprises the following steps: dividing a working period into a plurality of time periods, and adding labels to the time periods; when the label of the time period i is unstable, acquiring a time period A1 and a time period A2; calculating a correction factor based on the curve of the optical volume wave signal along with the time change in the time period A1 and the time period A2; correcting the optical volume wave signal at each time point in the time period i to obtain a correction value, and sorting the correction values according to a time axis sequence to obtain a correction sequence; the temperature differences are obtained in real time within the time period i, the temperature differences are sequenced according to the time axis sequence, and a temperature sequence is obtained; and obtaining a current risk level based on the temperature sequence and the correction sequence. According to the invention, the credibility of the risk level output by the somatosensory interaction equipment is improved.

The invention discloses an abnormal event processing method and device, a medium, equipment and a computer program product, and the method comprises the steps: classifying abnormal events based on call stacks of the abnormal events in a log file, and obtaining at least one abnormal event set; a time sequence corresponding to each abnormal event set is determined, and the time sequences are used for representing time-varying features of abnormal events in the abnormal event sets; and based on the time sequence corresponding to the abnormal event set, determining an associated abnormal event set so as to display the abnormal event set associated with the abnormal event set when the abnormal event set is displayed. Therefore, potential homologous abnormal events crossing the call stacks can be identified, so that the abnormal event sets with different call stacks and the same trigger root cause of the events can be associated and aggregated, and reasonable classification and aggregation of the abnormal events are realized.

A machine-learned architecture may predict a set of spatially-diverse paths that an object may take in the future. The paths generated by this architecture may be time-invariant (e.g., not identifying a time at which the object may occupy a position along one of these paths) but can be used by a second machine-learned model to predict progress in time along these paths. This segregation of the spatial paths and progress in time along the paths improves the accuracy of the ultimate prediction and better captures rare object behavior.

The invention relates to a clock synchronization phase offset estimation method supporting time delay distribution feature learning, and belongs to the technical field of time synchronization. Aiming at the problem that the synchronization precision is reduced in a network scene with unknown random time delay distribution and time variation, based on a master-slave node bidirectional message exchange mechanism of a precise time protocol, a maximum entropy method is adopted to dynamically learn statistical characteristics of random time delay, and optimal order weighted estimation is fused to precisely solve clock phase offset. According to the method, time delay distribution does not need to be preset or dependence on prior knowledge is not needed, the adverse effect of time varying and time delay on synchronization performance is overcome through data-driven adaptive learning of a time delay change rule, the precision and robustness of clock phase offset estimation are remarkably improved, and the high-precision time synchronization requirement in a complex dynamic network environment is met.

The invention provides an accelerometer zero offset change compensation method and device, and the method comprises the following steps: carrying out multiple times of zero offset tests on an accelerometer in a preset time period, calculating the variable quantity of each test relative to an initial zero offset value according to the multiple times of test results, and constructing a zero offset variable quantity sequence; time is used as an independent variable, a square root function model is used for fitting the zero offset variation, and a function relation that the zero offset changes along with the time is established; the zero offset change-time function relation obtained through fitting is used as a compensation model to be embedded into the navigation system, the system automatically predicts and compensates the zero offset of the accelerometer according to the accumulated working time in the operation process, and therefore the long-term precision and stability of the navigation system are remarkably improved. The method has the advantages of being easy to implement, remarkable in compensation effect, suitable for various types of accelerometers and the like, and is particularly suitable for a long-time task scene with the high requirement for navigation precision.

The invention discloses a method for determining the permeability time variation of a polymer flooding reservoir. The method comprises the following steps that S1, the displacement strength and the displacement multiple of reservoir physical property time varying of the polymer flooding reservoir are determined; s2, carrying out a polymer displacement experiment according to the displacement strength and the displacement multiple determined in the step S1; s3, after the displacement pressure is stable, a KCl solution is injected until the pressure is stable, and the permeability of the core after polymer flooding and the time-varying parameters of the core after polymer flooding are calculated and determined through a Darcy formula. In the displacement strength switching process, after the polymer flooding pressure is stable, the KCl solution is injected at a low speed until the pressure is stable again, and the reservoir permeability time-varying parameters after polymer flooding are determined through the Darcy formula. The method is simple and convenient to operate and reliable in result, and the problem that the reservoir permeability is difficult to measure due to the influence of viscosity after polymer flooding can be solved.

The invention discloses a method and a system for calculating the volume efficiency of a hydraulic executive component under variable working conditions, which comprises the following steps of: determining a typical working condition, calculating to obtain the theoretical volume efficiency under the typical working condition, dividing a preset time period into a plurality of very short time intervals, calculating the actual volume efficiency of each time interval, and finally calculating the volume efficiency of the hydraulic executive component under the variable working conditions. Compensation calculation is carried out based on the actual volume efficiency of each time interval and the theoretical volume efficiency under the typical working condition, the volume efficiency of each time interval under the typical working condition is obtained, and a curve of the volume efficiency changing along with time under the typical working condition can be generated. And then the volume efficiency under the working conditions corresponding to all the time intervals is converted into the volume efficiency under the unified typical working condition, so that the volume efficiency change of different time intervals is only related to time, the trend that the volume efficiency changes along with the time is accurately represented, and the accuracy of fault detection of the hydraulic executive component is improved.

The application discloses a kind of compensation method, device and electronic equipment of message, it is related to artificial intelligence field, the method includes: obtaining the message that target application sends to message queue theme from message queue theme, obtains first message;According to the network fluctuation law of target application with time variation, predict target time period of target application network stability, and feedback target time period to target application;Obtain the message that target application sends in target time period, obtain second message, and compare first message and second message, obtain target comparison result;In the case where according to target comparison result determines that first message is different from second message, compensation message is sent to message queue theme, wherein, message queue theme is used to determine second message according to compensation message and first message.The application solves the technical problem that when the message that application sends to message queue is lost in the prior art, the application needs to resend the message, thereby affecting the working performance of the application.

This application discloses an atomic time calculation method and apparatus based on hydrogen atomic clock drift prediction. The method includes: obtaining historical clock difference data from a database; obtaining initial clock difference values ​​between the combined clock and a reference clock and between each clock and the combined clock based on the clock difference data of each atomic clock; performing time function fitting based on the clock difference data and the drift values ​​between each clock and the combined clock to obtain a time-varying frequency drift prediction value; and subtracting the frequency drift value introduced by the hydrogen atomic clock in the combined clock based on the time-varying frequency drift prediction value to obtain an atomic timescale. This application solves the problem of long-term frequency drift in atomic timescale calculation based on hydrogen atomic clocks, thereby enabling real-time updates of atomic clock frequency drift during atomic timescale calculation, allowing for accurate subtraction of drift terms, and ultimately obtaining an atomic timescale that simultaneously possesses short-term and long-term stability.

The invention relates to the technical field of detection. The invention discloses a valve fault detection method and system. The method comprises the steps that firstly, a sensor collects at least one state parameter of the flow, the pressure and the temperature of a medium in a valve in real time; 2, calculating parameter unit time variation including fluctuation amplitude and change rate; thirdly, the duration time of the full-opening state, the full-closing state and the preset partial opening state of the valve is obtained; fourthly, according to the valve type, the medium characteristic and the working environment, the standard stabilization time 10%-30% longer than the normal stabilization time is preset; and 5, after the duration exceeds the standard stable time, comparing the variable quantity with a fault threshold value, and if the variable quantity exceeds the limit, judging that a sealing or clamping stagnation fault exists. According to the valve fault detection method and system, parameters are collected in real time through the sensor to calculate the variable quantity, the standard stabilization time of the adaptive working condition is combined, misjudgment is reduced, early warning is conducted, and sealing and clamping stagnation faults are accurately positioned. The modular design ensures accurate data, and standardized output and graded protection are realized after faults occur.