62 results about "Time averaging" patented technology

Disclosed are methods, systems, and computer programs for dynamically generating a development plan for a resource site. The methods for example, include receiving seismic data associated with a subsurface of the resource site. The seismic data may be associated with a propagated wavefield within the subsurface of the resource site and can include at least structural geological data associated with the resource site. The methods also include directionally determining a plurality of rate of change data based on the propagated wavefield within the subsurface. The methods further include executing an averaging operation using the plurality of rate of change data and thereby generate an impedance model. The impedance model may be used to generate a development plan which is then used for energy development operations at the resource site.

The invention discloses a method and a system for measuring a time average velocity field of a combustion chamber of a scramjet engine, and belongs to the technical field of average velocity field measurement. The method comprises the following steps: establishing a measurement system, matching the number of exposure frames of a high-speed camera with the number of cavities of a laser, collecting a time sequence image for pre-processing, obtaining the pre-processed time sequence image, dividing the time sequence image into grid slices for cross-correlation calculation, and obtaining a time sequence speed according to a space and pixel conversion coefficient; constructing a velocity model according to a Gaussian mixture model algorithm, and obtaining a probability matrix of a data point belonging to a correct velocity vector according to an expectation maximization algorithm; and calculating to obtain a time average velocity field according to the correct velocity vector and the error velocity vector judgment condition. The method effectively improves the efficiency and accuracy of measuring the distribution of the time average velocity field, and can be used for measuring the time average velocity field.

The invention discloses a motor imagery electroencephalogram signal decoding method and system, and the method comprises the steps: obtaining the time sequence data of each channel of a motor imagery electroencephalogram signal, carrying out the averaging of the time sequence data along the time dimension, obtaining the features after the time average pooling, carrying out the standardization of the features in the channels, and obtaining the time sequence data of each channel of the motor imagery electroencephalogram signal. Gaussian weighting coefficients are generated through Gaussian weighting harmonic, the coefficients are broadcasted along the time dimension, weights matched with the time dimension are obtained, the weights and the motor imagery electroencephalogram signals are multiplied element by element, and the dynamically harmonic motor imagery electroencephalogram signals are obtained. Extracting multi-channel multi-scale spatial-temporal features of the signal, windowing a feature sequence, constructing a feature vector with a fixed length, and performing classification through a classifier to obtain a probability corresponding to each predefined motor imagery category; according to the method, the decoding performance can be effectively improved through cooperative work of adaptive coordination, feature heterogeneous fusion and channel attention optimization of the motor imagery electroencephalogram signals.

A method for operating a scheduler of an access point of a radio access network (RAN) includes: allocating, by the scheduler, spectral resources to a wireless connection provided by the access point; forwarding, by the scheduler, data packets transmitted by a distributed real-time application via the wireless connection; dynamically adjusting, by the distributed real-time application, a data rate of the transmitted data packets below a target bitrate signaled to the distributed real-time application by the scheduler; allocating, by the scheduler, more spectral resources to the wireless connection than a defined fair allocation of spectral resources; determining, by the scheduler, the target bitrate at an offset above a defined best effort bitrate; measuring, by the scheduler, a time average of a deviation of the adjusted data rate from the determined best effort bitrate; and dynamically adjusting, by the scheduler, the offset based on the measured time average of the deviation.

Certain aspects of the present disclosure provide techniques for radio frequency (RF) exposure with antenna grouping. An example method for grouping antennas for RF exposure compliance by a processing system generally includes determining RF exposure distributions per transmit antenna configuration for a plurality of transmit antennas and assigning the plurality of transmit antennas to a plurality of antenna groups based on the RF exposure distributions.

The application discloses a kind of energy storage typical working condition generation method and device based on dynamic time average sequence algorithm, the method includes the time series of multiple according to periodic sampling is formed set, initialization optimal time sequence, and time sequence in the set is successively carried out dynamic time regulation, find optimal path and increase path to optimal time sequence, calculate after sequentially, and obtain optimal time sequence mean, the above process can be obtained final optimal time sequence by repeated iteration, positive and negative value adjustment is carried out to the optimal time sequence, satisfies the charge-discharge capacity equal constraint of energy storage working condition.The working condition curve generated by the application can better extract the typical characteristics of original data, and has broad application prospect.

An apparatus includes memory and processor configured to: input, from a sensor, a signal indicating a characteristic vibration occurring at each position of an optical fiber, and estimate, based on the input signal, an aerial section in which the optical fiber being aerially laid over a pole is present; calculate, based on the input signal, sensing data indicating a vibration characteristic of each position of the optical fiber being present in the aerial section, and calculate a difference degree of the sensing data between two neighboring points of the optical fiber; and temporally integrate the difference degree, calculate a time average of the difference degree, estimate, based on a time average value of the difference degree, a position of the pole and a position of an extra length section of the optical fiber, and output an estimation result of positions of the pole and the extra length section.

The invention relates to the technical field of public space intelligent lighting control and control parameter optimization thereof, and discloses a public space lighting system control parameter optimization method. According to the scheme, multiple disturbance sensors are arranged in a public space, voltage-acceleration conversion is established through two-point calibration, and voltage is converted into calibration acceleration in real time in the operation period; performing equivalent disturbance on multi-point data weight fusion in a time window, and setting zero in a starting period; setting reference brightness and maximum offset and limiting amplitude; constructing a normalized response according to time average, and setting zero at extreme time; obtaining a variance and adaptive suppression ratio according to the deviation, and outputting final brightness according to residual weight and modulation correction; and forming a disturbance trajectory and trend according to a refresh cycle, predicting a next cycle and limiting amplitude, and generating a time sequence instruction.

The application relates to an electrical signal parameter estimation method and device, electronic equipment and a storage medium, and relates to the technical field of electrical signal processing. The method comprises the following steps: adopting a variable step size least mean square algorithm, performing cyclic estimation on a fundamental wave signal based on a received signal until the fundamental wave signal meets a preset condition; wherein the fundamental wave signal is a difference value of an error signal and the received signal, the error signal is an output signal of the received signal after a notch filter; a step size factor of the variable step size least mean square algorithm is adjustable, and the step size factor is adjusted based on a square of a time average value of an autocorrelation function of error signals at two adjacent moments; and a signal parameter of the fundamental wave signal is acquired. When the frequency of the electrical signal rapidly changes, good response speed and estimation accuracy can be simultaneously obtained, and the method is more suitable for parameter estimation of a non-stationary signal.

A method and device are provided in which a proximity sensor of a user equipment (UE) determines an object detection status change for a first antenna of the UE. A processor of the UE controls a transmission power of the first antenna based on the object detection status and one of a first delay period for initial object detection by the proximity sensor or a second delay period of detection status change certainty. The transmission power changes between an upper power level and a lower power level in accordance with a time-averaged specific absorption rate (SAR) (TAS).

A method of generating a training set for a machine learning model to upscale volumetric effect froxel grids comprises, for a source of input data for the training set, generating a low-resolution froxel grid for respective ones of a plurality of frames in sequence, the generating comprises time-averaging values contributing to the froxel grid; assigning for a given frame in the sequence the corresponding generated low-resolution froxel grid as a source of input data. For a source of target data for the training set, at the given frame in the sequence, freezing the state of a scene that is being rendered; generating a high-resolution froxel grid for repeated instances of the given frame and scene state; selecting a high resolution froxel grid generated after a predetermined number of repeated instances; and assigning the selected generated high-resolution froxel grid for the given frame as a source of target data.

Various aspects of the present disclosure generally relate to wireless communications. In some aspects, an apparatus may determine a time-averaged power limit for an antenna set. The apparatus may modify an antenna switching configuration based at least in part on the time-averaged power limit. The apparatus may transmit a signal using an antenna in the antenna set associated with the modified antenna switching configuration, where the antenna is associated with a higher power limit than one or more other antennas. Numerous other aspects are described.

The application discloses a kind of fast online unmanned plane trajectory planning method, unmanned plane trajectory planning technical field, it includes establishing unmanned plane 3DOF dynamics model, design objective function, utilize accurate penalty function to handle constraint condition, and the objective function and state quantity are discretized, solve objective function to obtain flight trajectory.The present application can be through accurate penalty function and the collaborative design of discretization, significantly improve the accuracy and computational efficiency of complex constraint processing, single step calculation time average is 108ms, longest 160ms, satisfy real-time requirement, applicable to small unmanned plane embedded platform online trajectory planning.

The invention discloses a PTV and SPIV technology fused small-scale vortex measurement device and method for a water tunnel experiment, the device comprises a support mechanism, a mounting plate, a shooting mechanism and a water tunnel test mechanism, the shooting mechanism is mounted on the mounting plate, the mounting plate is mounted on the support mechanism, and the water tunnel test mechanism is arranged at the upper part of the shooting mechanism; the method comprises the following steps: calibrating; scattering the tracer particles; adjusting and shooting synchronous parameters; dividing a vortex region; carrying out PTV post-treatment; performing PIV (particle image velocimetry) post-treatment; performing space-time coupling averaging; a PTV and PIV fusion technology is adopted; the SPIV is used for calculating a 2D-3C velocity field; according to the invention, PTV and PIV technologies are fused, and advantage complementation is realized through partition cooperation; the method comprises the following steps: accurately measuring a vortex core by using PTV, covering the whole field by combining PIV, seamlessly splicing data through a precision algorithm and a space-time averaging technology, and establishing an SPIV algorithm based on a self-compiled program to calculate a 2D-3C velocity field, thereby realizing the reconstruction of the whole velocity field; and reliable experimental data support is efficiently provided for research and development of the underwater vehicle.

The present invention discloses a fractional multi-mode frequency divider circuit based on space-time averaging and phase interpolation technology, comprising: a third-order noise shaping modulation module, a dynamic element matching and phase selection module, a phase switching frequency divider module, and a pipelined phase interpolation module; the third-order noise shaping modulation module is used to perform time averaging on the input frequency division ratio to generate an instantaneous frequency division ratio; the dynamic element matching and phase selection module is used to perform spatial averaging on the instantaneous frequency division ratio and generate a frequency divider control word and a phase interpolator control word; the phase switching frequency divider module is used to generate a clock signal corresponding to the frequency division ratio based on the frequency divider control word; and the pipelined phase interpolation module is used to perform phase interpolation on the clock signal to generate a final clock signal with an accurate phase. The embodiments of the present invention utilize the mutual cooperation of the various modules to achieve the integration of space-time averaging technology and phase interpolation technology, thereby improving the limitations of space-time averaging technology.

The application belongs to the field of vacuum electron devices, and particularly relates to a kind of attenuation solving method of G-band edge alignment staggered grid row wave tube high-frequency structure.The attenuation quantity definition of passive device is introduced into the high-frequency structure of active device-G-band edge alignment staggered grid row wave tube for the first time, and the solving method of the change rate of time-averaged radio frequency power P along the axial direction used in the solving of attenuation constant of existing high-frequency structure is deviated, the solving formula of attenuation constant of G-band edge alignment staggered grid row wave tube high-frequency structure is obtained by starting from the basic theory of attenuation and transmission, deduction and numerical verification, the attenuation constant solved can support 3-dimensional large signal nonlinear beam-wave interaction solver BWISFW calculation, and compared with CST-PIC, the calculation results are consistent.The attenuation constant calculation method provided by the application is especially suitable for G-band edge alignment staggered grid row wave tube high-frequency structure, and is helpful to shorten the development cycle and reduce the production cost.

Training set (input and target) data for a machine learning (ML) model that is to upscale volumetric effect (e.g. smoke, fog) froxel (i.e. frustrum voxel) grids is generated. For training set input da

The invention provides an unmanned aerial vehicle network-oriented federated learning backdoor attack detection method and device, and relates to the technical field of unmanned aerial vehicle networks and federated learning security. Comprising the following steps: in each round of decentralized federated learning, a server calculates a relative model deviation between a model parameter of the server and a model parameter of an adjacent server, and further calculates a deviation change rate; when the change rate exceeds a preset threshold value, model parameter rollback is executed, and the round is marked as abnormal; then, carrying out instantaneous scoring and time average scoring on the unmanned aerial vehicle in the abnormal round, and generating a comprehensive malicious score through index operation integration; and finally, performing dichotomy on the comprehensive malicious scores of all the unmanned aerial vehicles by adopting a clustering algorithm, and according to comparison of the number of the unmanned aerial vehicles in a clustering result, determining a group with a smaller number as a malicious unmanned aerial vehicle set. According to the method, the backdoor attack can be effectively identified and positioned, and the security and robustness of unmanned aerial vehicle network federation learning are improved.

The present invention discloses a method and system for measuring the time-averaged velocity field of a scramjet combustion chamber, belonging to the technical field of average velocity field measurement. The present invention constructs a measurement system, matches the exposure frame number of a high-speed camera with the cavity number of a laser, collects time-series images for pre-processing, obtains the pre-processed time-series images, divides them into grid slices for cross-correlation calculation, and obtains the time-series velocity based on the spatial and pixel conversion coefficients; constructs a velocity model based on a Gaussian mixture model algorithm, and obtains a probability matrix of a data point belonging to a correct velocity vector based on an expectation maximization algorithm; and calculates the time-averaged velocity field based on the correct velocity vector and the error velocity vector judgment conditions. The present invention effectively improves the efficiency and accuracy of measuring the time-averaged velocity field distribution and can be applied to measuring the time-averaged velocity field.

The invention provides a parameter determination method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of quantum communication. The method comprises the following steps: acquiring historical code rate information and a first preset time length, and determining a historical code rate according to the historical code rate information and the first preset time length; obtaining a current code rate, code rate fluctuation information and a first time interval, wherein the first time interval is a preset parameter evaluation time interval; according to the historical code rate, the current code rate, the code rate fluctuation information and the first time interval, a second time interval is determined, and the second time interval is the difference between the time of next parameter evaluation and the time of current parameter evaluation. The second time interval is determined according to the historical code rate, the current code rate, the code rate fluctuation information and the first time interval, so that the next parameter evaluation time is dynamically adjusted, the low code time is shortened, the long-time average code rate is improved, and the utilization rate of the QKD equipment and the link is improved.

LED driver configured to adjust the time-averaged power consumption of a power factor correction filter (31) as follows: Significant reduction or complete suppression (11) of the power consumption of the power factor correction filter (31) for at least one correspondingly omitted network cycle with respect to a number of network cycles, Acquisition (01) of a ripple control signal (R) superimposed on a mains voltage, Defining a pattern depending on the detected ripple control signal (R), and Distribute (12) the at least one omitted network cycle over the number of network cycles according to the pattern.

The application discloses an information processing method, device and equipment for thrombus simulation and a medium, relates to the technical field of computers, and is applied to a computer device, and comprises the following steps: acquiring a calculation domain containing a plurality of grid units according to image data of a target object; determining model parameters of a target fluid control equation and a target thrombus model equation at a current time step; the target fluid control equation is constructed based on an N-S equation, the target thrombus model equation is constructed based on a diffusion term, a generation source term and a dissipation source term, and the dissipation source term is constructed based on a shear rate and a preset shear rate threshold; the shear rate and a time-averaged wall shear stress are acquired by using the target fluid control equation; the shear rate and the time-averaged wall shear stress are input into the target thrombus model equation to acquire a thrombosis degree; the model parameters are updated to perform simulation at a next time step, and a thrombus distribution result of the target object is generated according to the finally output thrombosis degree. The amount of calculation of thrombus simulation is reduced, and the formation of thrombus is better reflected.

Methods and apparatus are proposed for computing a power reduction policy to control radio emissions of a base station over a time window, with the objective to keep the time-averaged radio emissions over the time window below an authorized value set by regulations, with minimum impact on the performance of the overall system. The time window is subdivided into a plurality of time periods starting at a plurality of time steps, and the policy control comprises, at least at a first time step in the time window: generating a predicted average radio emissions over subsequent time periods in the time window, based on radio emissions historical data; finding couples of values of a power reduction factor and an average radio emissions that minimize a cost function for each time step in the time window, based on the predicted average radio emissions.

This invention discloses a method for measuring the atmospheric coherence length of a free-space optical communication link. The method includes: firstly, within the framework of Kolmogorov's atmospheric turbulence theory, expressing the time average of the variance of the optical signal wavefront phase fluctuation caused by atmospheric turbulence in the free-space optical communication link using the time average of the phase structure function; then, establishing an analytical expression for the relationship between the time average of the variance of the optical signal wavefront phase fluctuation and the atmospheric coherence length based on the relationship between the phase structure function and the atmospheric coherence length, thereby indirectly measuring the atmospheric coherence length using the information on the optical signal wavefront phase fluctuation caused by atmospheric turbulence in the free-space optical communication link.

The invention discloses a systematic error diagnosis method for a high-resolution numerical weather forecasting mode, which comprises the following steps: carrying out continuous four-natural-month long-term integration on the high-resolution numerical weather forecasting mode, outputting a key forecasting variable every 3 hours, and retaining the key forecasting variables in the later three months; the observation data comprises GPCP, ISCCP, CERES and SSM / I; time averaging is carried out on instantaneous variables output by the high-resolution numerical weather forecast mode, variable rate calculation is carried out on cumulants of which the time variable rate needs to be calculated, cumulants of which the cumulants need to be calculated are calculated, averaging of three initial value tests is carried out on the data, time averaging is carried out on the observation data, and the time averaging is carried out on the observation data. Performing spatial interpolation on the output variable of the high-resolution numerical weather forecast mode; and comparing the forecast variable with the live observation data to obtain an error diagnosis result.

This invention discloses a method and system for identifying layered cloud melting layers based on cloud radar, belonging to the field of cloud radar identification technology. The method includes: acquiring airborne cloud radar observation data; resampling the airborne cloud radar observation data to a unified geographic grid; for each sample, extracting continuous time periods with radar bright band characteristics and performing time averaging to obtain a comprehensive average reflectivity factor profile; calculating the vertical gradient of the comprehensive average reflectivity factor profile; and identifying the effective melting layer based on the vertical gradient. This invention automatically identifies the height of the top and bottom of the melting layer by analyzing the vertical gradient changes of reflectivity factor and vertical velocity, exhibiting high accuracy and strong adaptability.

User equipment (UE) for a time-average specific absorption rate (SAR) is provided. The UE includes a processor and a switch circuit. The processor may determine the current frequency band in which the UE is operating and select a code word combination within a unit of time from a plurality of code words based on the current frequency band. The switch circuit is coupled to the processor. The switch circuit may switch to a switch state based on the selected code word combination, wherein each switch state corresponds to a corresponding cord word of the selected code word combination.

The invention discloses a meteorological data time-airborne downscaling method based on an adversarial generative network, and belongs to the technical field of meteorological and artificial intelligence cross fusion, and the method comprises the following steps: S1, obtaining a high-resolution lattice point image of a certain space region in a certain time period, and obtaining a low-resolution lattice point image through space averaging and time averaging; s2, constructing a time-airborne downscaling generative adversarial network which comprises a generator of a spatial downscaling module and a time downscaling module, and a discriminator based on convolution and instance normalization; s3, training the time-airborne downscaling adversarial generative network by using the training set to obtain a better trained generator and discriminator; and S4, applying the generator through zero sample generalization or transfer learning. According to the time-space downscaling method, a space downscaling module and a time downscaling module are fused, an attention mechanism and residual connection are introduced, the complexity is reduced, and the feature extraction capability is improved.

An electronic device according to an example embodiment includes: at least one wireless communication module comprising communication circuitry configured to transmit and receive a wireless signal, at least one processor operatively connected to the at least one wireless communication module, and a memory electrically connected to the processor and configured to store instructions executable by the processor, wherein, in response to the instructions being executed by the processor, the processor may be configured to: determine whether there is a target wake time (TWT) parameter for a TWT service, determine a time-averaged specific absorption rate (TAS) backoff regulation value for a time window based on the TWT parameter, and control the at least one wireless communication module to perform communication during the time window based on the TAS backoff regulation value and the TWT parameter.

Apparatus and methods for deriving and displaying a time-averaged fetal heart rate signal in combination with microvariability information relating to beat-to-beat heart rate signal variability within different time-averaged epochs or windows. Supplementary information is displayed, for example, in temporal alignment or registration with the time-averaged heart rate signal, which indicates signal variability information during the averaging window of the time-averaged signal.