53 results about "Time variations" patented technology

The invention provides a load prediction method and system of a deep learning algorithm based on a time sequence, and a medium. The load prediction method comprises the following steps: step 1, collecting and preprocessing data; 2, designing a model; step 3, model training; step 4, load prediction; seasonal fluctuation and self-correlation characteristics can be captured in complex time sequence data at the same time. According to the model, firstly, periodic components of a time sequence are expressed by using sine and cosine functions through dynamic seasonal decomposition, and then nonlinear features of seasonal changes are captured. Then, in combination with an autoregression part in the ARIMA model, short-term dependency and trend change in the time sequence are further described. According to the invention, not only data with fixed periodic fluctuation can be processed, but also data with seasonal fluctuation amplitude changing with time can be handled. The model has excellent performance in the aspect of capturing the long-term and short-term dependency relationship, and is suitable for time sequence data with complex periodicity and autocorrelation.

The embodiment of the invention provides a clock phase demodulation method and a molecular clock, and the method comprises the steps: determining a demodulation phase initial value of an Nth harmonic based on an Nth harmonic signal outputted by the clock; wherein the N is a positive integer and is an odd number; determining a first phase change value of the Mth harmonic signal along with time based on the Mth harmonic signal output by the clock; determining a second phase change value, changing along with time, of the L-th harmonic signal based on the L-th harmonic signal output by the clock; wherein M and L are positive integers and are even numbers; calculating a target demodulation phase based on the demodulation phase initial value, the first phase change value and the second phase change value; wherein the target demodulation phase is a demodulation phase used under the condition that frequency locking is carried out by adopting Nth harmonic waves. Through the method, the calculation amount of phase demodulation of the clock can be reduced.

The embodiment of the invention provides a dynamic capacity expansion and contraction method and device, equipment and a storage medium. The method comprises the steps that time series data in a first time period are obtained, the time series data are used for representing the situation that the number of online vehicles changes along with time in the first time period, and the first time period is a time period before the current moment; the time sequence data are input into a prediction model, the number of online vehicles in a second time period is predicted, and the second time period is a time period after the current moment; according to the number of online vehicles in the second time period, determining a capacity expansion and contraction strategy of resources in the second time period; and adjusting the resource quantity provided for the online vehicle in the second time period according to the capacity expansion and contraction strategy. According to the method, resource allocation in the next time period is arranged in advance by predicting the number of online vehicles in the next time period, the hysteresis of capacity expansion operation can be avoided, and the stability of the system is better maintained.

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.

Techniques for data management are described. A monotonically increasing time source that indicates an elapsed time since a reference event may be activated. Multiple snapshots of a computing object may be generated in accordance with a schedule for backing up the computing object, where the schedule may include a retention duration for retaining snapshots. Based on generating the snapshots, timestamps for the snapshots may be stored, where the timestamps may indicate respective values of the monotonically increasing time source. As part of an expiration job, a reference value of the monotonically increasing time source may be identified based on the retention duration and a current value indicated by the monotonically increasing time source. Also, a snapshot of the snapshots may be expired based on a timestamp of the snapshot corresponding to a value of the monotonically increasing time source that is less than the reference value.

The invention proposes a method for reducing power fluctuations for operating a data centre, wherein the data centre has a plurality of installations which have different reaction times with respect to their operation. The method is characterised by the following steps: - (S1) providing a plurality of disjoint reaction classes which are arranged in ascending order with respect to their reaction times, wherein each installation is assigned to one of the reaction classes; - (S2) providing a prediction for the time-dependent total power of the data centre for a prediction period, wherein the prediction comprises information about the variance over time of the total power; - (S3) determining a reaction-class-specific time-dependent power for each reaction class on the basis of the variance over time of the total power, wherein the powers are determined in such a manner that they lead to a reduction in the power fluctuations of the data centre; and - (S4) operating the installations of the respective reaction class such that the time-dependent power determined for each of the reaction classes is provided by the installations of the respective reaction classes. The invention further relates to a device for controlling the total power of a data centre, and to a data centre.

A computing system (500) is configured to detect a Transmission Control Protocol (TCP) session hijacking attack on a TCP session. In particular, the computing system monitors for nonsequential packets of the TCP session. The nonsequential packets each comprise a sequence number (220) that is different from a next expected sequence number of the TCP session. The computing system (500) calculates, for each of a plurality of time intervals, a variation metric representing an extent to which the sequence numbers (220) of the nonsequential packets received in the time interval differ from the next expected sequence number. The computing system determines a variation baseline representing a trend of the variation metrics over time, and detects the TCP session hijacking attack on the TCP session based on the variation metric in a given time interval being different from the variation baseline by less than a threshold.

Techniques for operating the NTN include comparing a behavior of a measured rate of time change of a timing advance error (carrier frequency error) to a predicted behavior of a rate of time change of the timing advance error (carrier frequency error). Specifically, when taking into account the frequency at which the user equipment accesses ephemeris information, this behavior may be determined by analyzing the rate of change in time (or change relative to elevation) of a timing advance error or carrier frequency error, and comparing this behavior to a predicted behavior that differs significantly in the reported position of the user equipment.

The present subject matter relates to a sender apparatus, for a wireless communication system, the sender apparatus comprising means, the means being configured for: determining a first beamforming configuration for a specific time period in accordance with a state of a channel between the sender apparatus and a receiver apparatus for transmission of data to the receiver apparatus; during the specific time period: transmitting data to the receiver apparatus using the first beamforming configuration or using a second beamforming configuration in case of a time variation of the channel

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.

A system for audibly conveying financial information using a computerized system. The system receives financial information includes a variable parameter which varies over a time period. The processor associates the received financial data with a musical instrument. It also determines, for a plurality of values of the variable parameter during a time period, a plurality of musical notes based on the values of the variable parameter, and generates audio data associated with the plurality of musical notes corresponding to the changes in the variable parameter. When the processor determines whether any of the plurality of generated musical notes for the associated musical instrument are at the highest or lowest range, and automatically readjust the tonal range of the musical notes or changes the associated musical instrument. The system-generated audio data is audibly reproduced in musical notes of the associated musical instrument.

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.

A display device for panting-related information comprising: a breath sound detecting unit (111, 112, 115) configured to detect a breath sound of a measurement subject and obtain a breath sound signal in a time series expressing the breath sound; a determination processing unit configured to convert the respiratory sound signal into a frequency domain based on the respiratory sound signal to obtain a frequency spectrum of the respiratory sound, and to determine, for each predetermined processing unit time period, whether or not wheezing is included in the respiratory sound based on the area of ​​a dominant peak having the largest area in a graph of frequency with respect to sound pressure among a plurality of peaks in the frequency spectrum; and a display processing unit configured to display, based on a result of the determination performed by the determination processing unit, as information indicating a temporal change in the frequency of wheezing, a frequency of the processing unit time periods in which wheezing was determined by the determination processing unit to be included, in each addition unit time period (T1, T2, T3, T4) including a plurality of processing unit time periods, on a display screen (10); and further an addition processing unit configured to add the lengths of processing unit periods in which it was determined that the wheezing was included in the addition unit periods (T1, T2, T3, T4) and to obtain the result as a wheezing period (Tw1, Tw2, Tw3, Tw4), wherein the display processing unit displays the information indicating the temporal change in the frequency of wheezing as a bar chart (AT) indicating percentages occupied by the wheezing time periods (Tw1, Tw2, Tw3, Tw4) in bars of a certain length corresponding to the addition unit time periods (T1, T2, T3, T4), wherein the display processing unit displays a plurality of bars (AT1, AT2, AT3, AT4) corresponding to the addition unit time periods (T1, T2, T3, T4) in parallel alignment on the display screen (10), wherein the addition processing unit classifies, in each of the processing unit time periods, the intensity of the wheezing sound into a plurality of stages based on the area of ​​the dominant peak and adds the lengths of the processing unit time periods in which the wheezing was determined to be included in each of the classified stages, and wherein the display processing unit displays, based on the addition performed by the addition processing unit, the panting time periods (Tw1, Tw2, Tw3, Tw4) divided into the stages in the bars (AT1, AT2, AT3, AT4) corresponding to the addition unit time periods (T1, T2, T3, T4).

The invention discloses a dynamic setting method and device of check points and a storage medium. In the method, in a training process, resource use data of a large model training cluster in a previous historical time period can be periodically collected, and first dynamic relation data used for representing a dynamic relation of a system resource occupation state along with time change in a future target time period is predicted according to the collected resource use data; and comparing the first dynamic relation data with predetermined global dynamic relation data expected in the whole process under the condition that a fault does not occur in the training process of the large model, so as to determine a prediction result whether the large model training cluster may have the fault in the target time period. And the check points are configured according to the prediction result, so that the effectiveness of the configured check points in the training process of the large-scale model can be improved, and the fixed overhead and fault recovery loss of the periodic check points are reduced.

The invention relates to a method for resolving a water inrush flow path of water inflow of a mine water inrush point changing along with time, a water inrush process is divided into a plurality of time periods by taking one hour as a unit, the water inflow at the beginning moment of each time period serves as the water inflow of each time period, the time-varying water inrush problem is converted into the quasi-time constant water inrush problem, and the time-varying water inrush flow path of the mine water inrush point is calculated according to the time-varying water inrush flow path. Establishing a corresponding relation between the quasi time and the actual time; calculating to obtain a water inrush path by adopting a constant water inrush mine laneway water inrush path calculation method; and converting each moment in the water inrush path into actual time to obtain the water inrush path under the actual time. The mine water inrush path determined by the method is closer to the actual water inrush flow spreading condition, and the resolving result is beneficial to providing a theoretical basis for the escape of miners and the design of a ground emergency rescue scheme.

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.

A method for identifying a contributing cause of an anomaly, comprising: receiving a time series data set representing a metric that varies over time, wherein the time series data has at least two dimensions; for each of two or more timestamps in the time series data set, generating first and second charts that represent: (i) the metric at that timestamp, (ii) at least two dimensions at that timestamp, and (iii) the association between the metrics at that timestamp; analyzing the first and second charts associated with each timestamp to identify a specific timestamp that includes an anomaly; and, analyzing the first and second charts associated with the identified specific timestamp to identify the nodes that contributed to the anomaly.

Resistance to vulnerabilities from timing-based side-channel attacks on 5G network slices that share underlying physical infrastructure and resources may be enhanced by selectively imposing time-based constraints on service provisioning and data handling to obscure data-driven time variations that occur during workload execution in a slice that can leak secret information. By preventing timing leakage from the 5G network slices, an attacker cannot observe execution latencies to thereby infer the constituency of workload characteristics. In addition, the attacker cannot create contention for shared resources on its own slice to observe an extent to which the shared resources are utilized by a targeted slice.

A, preferably computer-implemented, method of condition monitoring of an electro-mechanical system and / or a process controlled by the electro-mechanical system, comprising the steps of: determining an anomaly in operating data of the electro-mechanical system, wherein the operating data comprises a plurality of time series, wherein each time series corresponds to actual values, preferably obtained by one or more sensors, and / or setpoint values (varying over time) of the electro-mechanical system, labeling the anomaly, e.g., based on user input, the labeling comprising an indication of a recommended action, in particular a maintenance task, for mitigating and / or resolving a condition causing the anomaly.

The present invention discloses a method for evaluating the resilience of a power system considering time-delay cascading failures, specifically: (1) sampling line faults, setting them as system initial faults, and establishing a cascading failure simulation model framework considering time sampling; (2) establishing load shedding constraints for each disconnection condition for the framework of step 1 based on the power grid line and load data; (3) referring to the post-fault recovery mode of the power grid in actual operation, establishing a line fault recovery time model for the framework of step 1, and establishing power grid constraints considering the motor ramp rate; (4) sampling multiple accident chains, integrating the total load rate of the power grid over time, and realizing the resilience evaluation of a certain power grid under the impact of a fault. The present invention can realize the evaluation of the typical cascading failure mode of the power grid system with the development of cascading failures in time as the purpose, thereby providing a reference for the prevention of power grid cascading failure losses.

In some examples, the present disclosure provides a method for determining drift in clock data provided by a clock of a seismic sensor. The sensor is exposed to a varying ambient temperature over time. The method includes obtaining temperature data associated with the ambient temperature as a function of time. The method also includes obtaining clock data. The method also includes obtaining timestamp data provided by a Global Navigation Satellite System. The method also includes determining drift data that minimizes a time drift difference in the clock data based on the timestamp data and the temperature data. The method also includes outputting correction data based on the determined drift data.

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.

A system for displaying the results of TMT test can acquire time-dependent changes in the position of a contact part on a coordinate plane as time-series coordinate data on the basis of an electric detection signal from a sensor, acquire an elapsed time associated with movement of the contact part as time data from a timer on the basis of the detection signal from the sensor, calculate a test value relating to the movement of the contact part on the basis of the data, and generate and output a characteristic image indicating a time-dependent change in the test value.

An information leakage prevention shield device includes a control unit to output a frequency setting signal for setting a filter frequency for an electromagnetic wave emitted from a device, and a modulation signal based on a time variation pattern for sequentially instructing a plurality of different transmission characteristics over time, and a dynamic electromagnetic-wave filter having a filter frequency set by a frequency setting signal from the control unit, having the plurality of different transmission characteristics over time set by the modulation signal from the control unit, to transmit an electromagnetic wave other than the filter frequency set by the frequency setting signal, and to have the plurality of different transmission characteristics over time set by the modulation signal with respect to the filter frequency set by the frequency setting signal.

Described herein is a method for determining a time-varying phase difference between two time- varying signals, the method comprising: receiving or generating two independent time-varying in-phase components and two independent time-varying quadrature components from two or more demodulated time-varying signals; determining the time-varying phase difference from the two time-varying in-phase components and two time-varying quadrature components by: combining the four signals at each time point; and determining a time-varying phase difference from the combined signals, and optionally determining a time-varying phase from the time-varying phase difference.

A method for managing the storage of parts of content following successive broadcasts of the parts, wherein the parts that have been broadcast are stored over a given time range preceding the current broadcast time. The time range varies over time.