37 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.

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.

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).

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.

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.

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.

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.

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.

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.

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 at least one 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.

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.

One aspect of the invention relates to a method for checking a functional state of an oven (1), in particular a thermal management functional state in a cooking space (9), comprising the following steps: providing an oven (1) having an at least food-free cooking space (9); activating at least one heating body (17) of the oven (1) and thereby heating the cooking space (9); -detecting a time curve of the temperature in the cooking space (9) during a test cycle; analyzing the time curve in at least one time interval which is shorter than the duration of the test cycle in such a way; at least one actual temperature value at at least one specific time point and / or an actual value of the electric power of the heating body (17) at at least one specific time point are / is compared with at least one target value of the corresponding parameter. And / or comparing the actual time curve of the temperature and / or the actual time curve of the electrical power in the time interval with a target time curve; and determining the functional state as a function of the comparison.

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.