52 results about "Time transformation" patented technology

A method for coating a substrate, in which emissivity values (UE,n) and reflectance values (UR,n) are determined using pyrometers in order to control the temperature of the substrate. Since the wavelengths of the two pyrometers differ slightly, the raw temperature determined from the emissivity value (UE,n) cannot be optimally compensated for using the reflectance value (UR,n). The angular frequencies (ωE, ωR) of the curves of the two values (UE,n) and (UR,n) oscillating over time t differ slightly from one another, leading to an oscillation of the actual temperature value. To counteract this phenomenon, values modified by a numerical time transformation are used rather than the measured values.

According to the video stream image optimization method and device provided by the embodiment of the invention, a dynamic fuzzy kernel generation mechanism is innovatively designed, and the data processing security is ensured through space-time decoupling and physical constraint. A content-motion double-branch network is constructed, and a reliable feature reconstruction system is established in combination with residual connection and space-time transformation. A physical constraint corrector is introduced, and high-quality video output is provided while user privacy is protected through adaptive fusion and rule correction. According to the method, the defects of the traditional technology in the aspects of fuzzy processing, feature decoupling, image optimization and the like are effectively overcome.

The invention discloses a multi-type agent trajectory prediction method and system fused with a multi-graph convolutional network, and the method comprises the following steps: S1, obtaining scene information and trajectory information of multiple types of traffic participants, and generating a data set; s2, generating scene feature maps according to scene information in the data set, and weighting and fusing the scene feature maps through the attention score to generate global scene information; s3, respectively extracting position information, speed information and direction information of various types of traffic participants in the data set, and constructing a multi-influence graph; s4, jointly embedding the processed multi-influence graph and global scene information into a space-time graph convolutional neural network, and performing coding processing through the space-time graph convolutional neural network to generate dynamic space-time features; and S5, decoding the dynamic spatio-temporal characteristics through the spatio-temporal transformation trajectory generation network to obtain future moment trajectory points of the traffic participants. According to the method, the dynamic interaction relationship among the multiple types of traffic participants can be more accurately captured in trajectory prediction of the multiple types of traffic participants, and the prediction precision and the real-time response capability in a complex traffic environment are improved.

The invention relates to a resource advance processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring resource pre-expenditure information fed back by a resource receiving client for a resource pre-expenditure account, and performing parameter analysis on the resource pre-expenditure information to obtain an account belonging place of the resource pre-expenditure account, an information source place of the resource pre-expenditure information and pre-expenditure confirmation time; under the condition that the account attribution and the information source are in different time zones, performing time conversion on the information source and the account attribution to obtain a first time conversion relation between the information source and the account attribution; converting the advance confirmation time based on the first time conversion relation to obtain equivalent confirmation time of the advance confirmation time in the account belonging place; and recording resource advance information according to the equivalent confirmation time. By adopting the method, the real-time performance of information recording can be improved.

The invention provides a self-adaptive preset time control method and system for a flexible mechanical arm, and relates to the field of control science and engineering.The self-adaptive preset time control method comprises the steps that a dynamic model of the flexible mechanical arm is built, and a nonlinear system state equation is deduced; constructing a time transformation function and a coordinate transformation function based on the system state equation; a time transformation function and a coordinate transformation function are utilized to construct an adaptive preset time controller, a dead zone compensator is connected to the output end of the controller in series, the ideal input control signal is compensated, and actual control input is obtained and acts on the flexible mechanical arm; a time transformation function is introduced into flexible mechanical arm control, a Lyapunov function and a self-adaptive estimation method are combined, an asymptotic tracking given tracking curve is finally output, global specified transient performance is guaranteed, performance indexes in the aspects of stable time and tracking precision can be pre-distributed offline according to task requirements, and the stability of the flexible mechanical arm is improved. And the method does not depend on an initial state and any design parameters.

In one embodiment, a system includes a peripheral device, which includes an interface to receive from a virtual machine (VM) running on a host device, over a communication data bus, a request for timing data derived from a time measurement dialogue, the host device maintaining a master clock time, a hardware clock to maintain a peripheral device clock time, and processing circuitry to transform the master clock time to a frame of reference of the VM, and provide to the VM, over the communication data bus, the timing data based on the peripheral device clock time, and the master clock time transformed to the frame of reference of the VM.

The invention relates to the field of user behavior analysis and risk prediction, in particular to a data access risk early warning method based on artificial intelligence. The method comprises the following steps: collecting user access behavior data in real time, and generating an access behavior state vector; based on the access behavior state vector, constructing a joint probability density function of the access behavior; constructing a time transformation prediction model based on the joint probability density function of the access behavior to obtain a time prediction value; and performing risk assessment on the access behavior based on the time prediction value, and judging whether the access behavior is abnormal or not. The problem that a traditional data access risk early warning method usually depends on static rules and threshold values and cannot effectively deal with a complex and changeable network security environment is solved; the problems that in the prior art, a simple linear model is used for describing user access behaviors mostly, periodic effective modeling of the access behaviors is lacked, flexible adjustment cannot be carried out according to the user behaviors changing in real time, and therefore risk assessment does not have enough timeliness and dynamics are solved.

The invention provides a kinematics equation linearization method of normalized time, which converts a time variable under an absolute scale into a relative scale, thereby facilitating derivation and numerical calculation of an optimal control problem. Converting free time into time with boundary conditions by using normalized time, and converting time serving as a differential term in the motion equation into a multiplication term, so as to realize transformation of the motion equation; and according to the motion equation after time normalization, the time after normalization is optimized, and equivalent solution of an optimal control problem is realized. Equivalent solution of an original optimal control problem is realized, and derivation and numerical calculation of the optimal control problem are facilitated.

The invention relates to the technical field of industrial process soft measurement and quality control, and discloses a paper quality prediction method based on multivariate statistical latent variable fusion and space-time transformation, which comprises the following steps: acquiring space-time sequence data of a multi-source sensor in a papermaking process, constructing a space-time diagram structure reflecting a topological relation of equipment, and preprocessing. Then, multi-view latent variables are extracted through non-negative matrix factorization, independent component analysis and robust principal component analysis, attention fusion is conducted on the latent variables through an LV fusion module, and fusion latent variables are obtained; and inputting the fusion latent variable and original node data into a multi-scale convolution auto-encoder to obtain spatial feature embedding, and inputting the spatial feature embedding and the fusion latent variable into a space-time Transform module together to realize joint modeling of space correlation and time dependence. And finally, outputting a paper quality predicted value through a linear regression module. The method can achieve the accurate prediction of the paper quality under a high-dimensional and multi-noise working condition, and is suitable for online monitoring and modeling updating.

The invention discloses a physical training load regulation and control method and system based on self-adaptive physiological coupling, and the method comprises the steps: collecting an electrocardiosignal, a light volume pulse signal, a respiration signal, a surface electromyographic signal and a body surface temperature signal, and generating a multimode sequence with a time mark; self-adaptive time alignment is executed, a timestamp graph is constructed, clock drift estimation is carried out, segmented monotonic reversible time transformation is established, and a multimode sequence is mapped to a unified time axis; reconstructing the missing section and the artifact section, establishing a mask auto-encoder with physiological priori constraints, combining time domain consistency constraints and frequency domain consistency constraints, and outputting a continuous differentiable reconstructed sequence. According to the method, by introducing adaptive time alignment, cross-modal signal reconstruction and dual-time scale state modeling, coordinated recognition and dynamic load regulation and control of multi-source physiological signals are achieved, coupling analysis in the training process is more stable, and an individual model can be continuously and adaptively updated.

The present invention discloses a method for automatically synchronizing the real time of an OS and its related components, and relates to the field of time synchronization. A corresponding time zone mark is generated according to the time zone of the RTC time, the RTC time is used as the system time of the OS, and it is judged whether the time zone represented by the time zone mark is consistent with the time zone represented by the time zone definition of the OS. If they are consistent, the system time is converted into the real time according to the original time conversion configuration of the OS, and if they are inconsistent, the system time is modified according to the preset time conversion configuration of the OS. Since the OS has a time zone definition for the RTC time, when the time zone of the RTC time is equal to the time zone defined by the time zone, the OS can execute the original steps, that is, the original time conversion configuration to convert the system time to obtain the real time. If they are not equal, the preset time conversion configuration is used to modify the system time to avoid modifying the system time into an erroneous real time, and ensure that the real time finally obtained is consistent with the real time required by the user.

The invention provides an intelligent electric energy meter load recording method and device based on a Fibonacci algorithm. The method comprises the following steps: constructing a Fibonacci sequence; designing a record data storage structure; the compression time algorithm is used for converting the storage time of each record into relative seconds when the records are stored; according to the Fibonacci algorithm, the position of the record corresponding to the target time is found. By reasonably designing a record data storage structure, orderly storage of the load records of the intelligent electric energy meter can be realized, and meanwhile, the load records can be quickly searched according to the Fibonacci algorithm, so that the record searching efficiency is greatly improved.

The present invention provides a preset time control method and device for a flexible linkage manipulator, relating to the field of robotics. The method comprises: constructing a dynamic model of the flexible manipulator; performing a dual-time-scale model decomposition of the flexible manipulator dynamic model based on singular perturbation theory to obtain a slow-varying subsystem and a fast-varying subsystem; designing a preset time trajectory tracking controller based on the slow-varying subsystem using a composite learning algorithm based on a neural network and a disturbance observer, using a time transformation function and a state transformation function; designing a vibration suppression controller based on the fast-varying subsystem by constructing sliding mode variables; and obtaining control inputs for the flexible linkage manipulator based on the preset time trajectory tracking controller and the vibration suppression controller. This method can effectively suppress flexible vibrations and improve the robustness and adaptability of the system.

A schematic block diagram of a decoder for decoding an encoded audio signal is shown. The decoder includes an adaptive spectrum-time converter and an overlap-add-processor. The adaptive spectrum-time converter converts successive blocks of spectral values into successive blocks of time values, e.g. via a frequency-to-time transform. Furthermore, the adaptive spectrum-time converter receives a control information and switches, in response to the control information, between transform kernels of a first group of transform kernels including one or more transform kernels having different symmetries at sides of a kernel, and a second group of transform kernels including one or more transform kernels having the same symmetries at sides of a transform kernel. Moreover, the overlap-add-processor overlaps and adds the successive blocks of time values to obtain decoded audio values, which may be a decoded audio signal.

A method for calibrating phase nonlinearity of a digital-to-time converter is provided. The method includes generating a reference signal using a phase-locked loop (PLL) based on a control word. The reference signal has a frequency equal to the frequency of an output signal of the digital-to-time converter. Furthermore, the method includes measuring a temporal sequence of transitions of the output signal from a first signal level to a second signal level and a temporal sequence of transitions of the reference signal from the first signal level to the second signal level. The method also includes adjusting a first entry of a lookup table based on the measured temporal sequence.

To provide a method and device for signal-adaptive transform kernel switching in audio encoding.SOLUTION: A decoder 2 includes an adaptive spectral-time transformer 6 and an overlap-add processor 8. The adaptive spectral-time transformer 6 converts blocks of consecutive spectral values 4' into consecutive blocks 10 of time values via a frequency-time transformation, furthermore, depending on control information 12, switches between a first group of transformation kernels, comprising one or more transformation kernels having different symmetries on both sides of the kernel, and a second group of transformation kernels, comprising one or more transformation kernels having the same symmetry on both sides of the kernel. The overlap-add processor 8 generates decoded audio values 14 by overlapping and adding consecutive blocks of time values 10.SELECTED DRAWING: Figure 1

A long-endurance high-precision timekeeping and time dissemination terminal and method of the present invention relate to the field of time synchronization, and include: a low-power MCU chip, a high-precision 1PPS phase discrimination chip, and a voltage-controlled crystal oscillator; the MCU chip includes a 1PPS generation module, a 1PPS phase discrimination control module, a PID control module, a temperature compensation module, and a time conversion module; the 1PPS generation module obtains an external standard 1PPS+ToD signal, and generates a local 1PPS signal and a delayed 1PPS signal; the 1PPS phase discrimination control module controls the 1PPS phase discrimination chip to compare the external standard 1PPS signal and the delayed 1PPS signal; the PID control module adjusts the voltage control value of the voltage-controlled crystal oscillator; the temperature compensation module performs frequency compensation on the voltage-controlled crystal oscillator according to the ambient temperature detected in real time; the voltage-controlled crystal oscillator provides a reference clock for the MCU chip; the time conversion module converts the external standard ToD signal into Beidou time to disseminate time to Beidou user equipment. The present invention can achieve a long-endurance timekeeping days and high timekeeping accuracy, meeting the requirements for accurate time of Beidou user equipment.

The present invention provides a timing conversion device, method, write equalization system, and computer-readable medium that can achieve signal timing delay with high precision in a simple structure. The timing conversion device includes: a time-to-digital conversion unit that obtains a first signal having a first period from the outside and generates a coarse code based on the first period; a fine code adjustment unit that obtains the coarse code from the time-to-digital conversion unit, outputs a fine code to the time-to-digital conversion unit for generating the coarse code, and adjusts the fine code until the coarse code becomes an integer multiple of Y when the coarse code is not an integer multiple of Y, where Y is a positive integer; a multiplication unit that obtains the coarse code from the time-to-digital conversion unit and calculates X / Y times of the coarse code, where X is a positive integer; and a digital time conversion unit that obtains the fine code from the fine code adjustment unit, obtains X / Y times of the coarse code from the multiplication unit, obtains a second signal from the outside, and delays the second signal by X / Y times of the first period based on X / Y times of the coarse code and the fine code and outputs the delayed second signal to the outside.

The invention relates to the technical field of intelligent control of a fully mechanized coal mining face of a coal mine, and discloses a large coal tracking processing method and device based on an image and a radar, and the method comprises the following steps: building a data package containing time synchronization information; resolving a real-time transformation matrix of a camera coordinate system relative to a mechanical arm base coordinate system based on the characteristics of a fixed calibration reference object in the data packet to realize dynamic external parameter calibration; a large coal target is recognized, point cloud depth information is combined, a real-time transformation matrix is called, and the real-time transformation matrix is mapped into static position coordinates under a mechanical arm base coordinate system; combining the speed of the scraper chain with a system response time window, and calculating predicted position coordinates of the large coal at the interception moment; and the motion track of the mechanical arm is planned, and the tail end executor is driven to execute processing operation on the target through closed-loop dynamic error correction. According to the method, the problems of coordinate system drifting and dynamic target tracking lag in a strong vibration environment are effectively solved, and accurate interception and efficient treatment of large coal are realized.

The invention discloses a regional wireless high-precision time keeping and time service system and method, and relates to the field of time synchronization, and the system comprises a key display panel which is used for receiving a user instruction and displaying a state; the time frequency processing board receives a timing instruction, converts an external standard time source into a local 1PPS signal, provides the local 1PPS signal to the chip atomic clock for clock taming, and provides Beidou time and reference frequency for the navigation simulation board after time conversion; the navigation analog board is used for encoding and modulating navigation messages based on set signal generation parameters, Beidou time and reference frequency, generating analog Beidou navigation signals and sending the analog Beidou navigation signals to the transmitting antenna; the transmitting antenna is used for transmitting the simulated Beidou navigation signal to ground Beidou receiver equipment; the power supply module performs power supply conversion on the battery; and the comprehensive control board performs data interaction and state power consumption management. According to the invention, rapid and efficient timing of the Beidou user equipment is realized in a wireless broadcast mode, and the time service system has long endurance time-keeping days and high time-keeping precision.

The application relates to the field of automatic control of intelligent agricultural equipment, and particularly discloses a constraint control method for an intelligent mower based on fixed-time convergence. First, a kinematic model and a heading subsystem of a differential steering intelligent mower are established; a fractional time conversion function is constructed to complete time dimension conversion scheduling of the heading subsystem; a nonlinear mapping function is used to convert the constrained heading system into an unconstrained system; and finally, a nonlinear heading constraint controller based on the backstepping method is designed to realize fixed-time convergence. The application can guarantee that the heading angle converges to the expected value within a fixed time, and the constraint boundary is not exceeded throughout the whole process, thereby improving the response speed, control accuracy and operation safety of the heading control of the intelligent mower.

The invention discloses a long-endurance high-precision time keeping and service terminal and method, and relates to the field of time synchronization, and the terminal comprises a low-power-consumption MCU chip, a high-precision 1PPS phase discrimination chip, and a voltage-controlled crystal oscillator. The MCU chip comprises a 1PPS generation module, a 1PPS phase discrimination control module, a PID control module, a temperature compensation module and a time conversion module. The 1PPS generation module obtains an external standard 1PPS + ToD signal, and generates a local 1PPS signal and a delay 1PPS signal. The 1PPS phase discrimination control module controls the 1PPS phase discrimination chip to compare an external standard 1PPS signal with a delayed 1PPS signal; the PID control module adjusts the voltage control value of the voltage-controlled crystal oscillator; the temperature compensation module performs frequency compensation on the voltage-controlled crystal oscillator according to the environment temperature detected in real time; the voltage-controlled crystal oscillator provides a reference clock for the MCU chip; and the time conversion module is used for converting an external standard ToD signal into Beidou time so as to carry out time service on Beidou user equipment. According to the invention, long-endurance time-keeping days and high time-keeping precision can be realized, and the requirement of accurate time of Beidou user equipment is met.

The embodiment of the invention discloses a dialogue interaction method and terminal equipment, and the method comprises the steps: inputting request information inputted by a user into a slot size model, and outputting slot position information of the current round; under the condition that the slot position information of the round comprises time information, if the time information is fuzzy semantic information, converting the time for receiving the request information into preset format time; if the time information is not the fuzzy semantic information, converting the time information into preset format time; updating the time information in the slot position information of the current round; and inputting the request information and the updated slot position information to a reply generation model to generate reply information. According to the embodiment of the invention, the time information in the request text is extracted only by using the slot extraction model, the fuzzy semantic judgment is independently carried out on the time information, and different judgment results are converted into different preset format time, so that the accuracy of time slot extraction can be improved, and the time slot extraction efficiency is improved. Therefore, the reply information generated based on the accurate time meets user requirements.

The application discloses an asymmetric S-curve transformation method and device, a terminal and a medium. The method comprises the following steps: acquiring current motion state data corresponding to a current S-curve, and determining an initial target speed based on system limit parameters corresponding to the current S-curve; calculating a key motion distance corresponding to the initial target speed based on the current motion state data and the initial target speed; processing the initial target speed based on the initial target speed and the key motion distance to obtain a target speed, and determining a target S-curve corresponding to the target speed based on the target speed. The application aims to realize real-time transformation of an asymmetric S-curve, and then realize real-time speed transformation at any moment of a motion process.

The invention relates to the technical field of clock generation, in particular to a high-performance clock generation method and device based on a flexible H tree. The method comprises the following steps: generating a reference clock signal by adopting a multi-channel phase-locked loop array, and carrying out dynamic phase calibration through a digital time converter to obtain a final reference clock signal; constructing a flexible configurable H-tree clock network structure, and forming a trunk and branch topological structure by adopting a high-drive buffer; the useful deviation of a clock path is adjusted in combination with a clock concurrency optimization strategy; environment parameters are collected, clock adjustment is carried out through the environment parameters, and clock signals meeting performance requirements are generated. Therefore, the problems of insufficient adaptive capacity to the environment, delay imbalance of part of paths, incapability of realizing sensing and real-time compensation, reduction of time sequence precision and the like due to the fact that the H-tree structure design is solidified and a dynamic adjustment mechanism is lacked in the prior art are solved, and the phase consistency of clock signals, the system time sequence margin and the energy efficiency ratio are remarkably improved.

The application discloses a vector multiplication circuit for prediction optimization, which comprises a digital time converter (DTC), a 1T1R memory array, a weighting circuit and an analog-digital converter; the digital time converter (DTC) is used for converting input data into a fully coded time signal, the 1T1R memory array is used for receiving time information obtained after conversion by the DTC and accumulating current; the weighting circuit is used for weighting the current; and the analog-digital converter is used for analog-digital conversion of the current signal to generate a digital output. This structure can effectively reduce the calculation delay of vector multiplication; hierarchical weighting can greatly reduce the area consumption of the weighting circuit; and the prediction output can reduce the response time between the output and the input, so that the output can be applied to subsequent calculation more quickly.

The invention discloses a method and system for solving time zone delay in a cross-border fund collection set, and the method comprises the steps: generating the optimal collection instruction triggering time of a transnational branch company through a working time intersection algorithm and a daylight saving time adaptive UTC time difference dynamic calculation rule, and carrying out the fund collection operation based on the optimal collection instruction triggering time. Collection delay caused by time zone dislocation can be avoided; meanwhile, data synchronization after collection is carried out by means of a dual-mode data synchronization mechanism and a time synchronization mechanism based on a UTC time difference dynamic calculation rule, the problem of flow stagnation caused by inconsistency of cross-time zone data can be eliminated, the time difference calculation rule is dynamically adjusted based on daylight saving time and non-daylight saving time, time conversion errors can be avoided, and the time conversion efficiency is improved. In addition, the cross-time-zone manual guarding is not needed, the risk of manual errors is avoided, and the labor cost is remarkably reduced.

Various aspects of the disclosure relate to automated conversion of time and / or date information from a first format to a second format and initiating computing functionality based on a successful conversion event. Mainframe computer hardware and software are provided for automatically converting differing time formats used across an enterprise computing network, automatically presenting times in multiple formats and / or translations of times across time zones for different regional computing systems of the enterprise computing network, and translating time formats based on an input and automatically pulling data records based on time zones of one or more of the involved computing systems and / or a location associated with the input source.

The present invention relates to the field of signal processing technology, and solves the technical problems in the prior art of poor filtering effect on mixed signals and low signal correction accuracy. In particular, it relates to a method for adjusting base station signals based on user access, the method comprising the following steps: S1, obtaining a source signal received by a base station, and preprocessing the source signal to obtain a preprocessed signal x(t); S2, performing time transformation on the preprocessed signal x(t) to obtain a time-varying signal SP(t, f), and obtaining an instantaneous frequency pi(t) according to a peak value of the distribution of the time-varying signal SP(t, f); the present invention performs secondary processing on the mixed signal, first filtering out the clutter, and then performing detailed filtering on the 5G signal, thereby reducing the influence of noise on the signal time-frequency diagram, improving the signal-to-noise ratio of the signal to be measured, and improving the instantaneous frequency estimation accuracy, and greatly improving the signal-to-noise ratio of the reconstructed signal time-frequency distribution.