68 results about "Linear trend" patented technology

An instrument and method for variable depth tillage is provided. A soil engaging implement has a pair of load cells and at least one strain gauge set mounted thereon. The load cells are used to determine a linear trend of topsoil resistance pressure change with depth as the soil engaging implement is drawn through the soil. The strain gauges are used to measure torque on the soil engaging implement caused by the load transmitted through the at least two load cells as well as the load applied to the point of the soil engaging implement. The linear trend of topsoil resistance pressure change with depth and the torque on the soil engaging implement are then used to determine both measured and predicted mechanical soil resistance to penetration applied to the point and the difference between the two values serves as an input for tillage depth adjustment.

This invention discloses a kind of generating method of real-time monitored brain potential trend chart by adopting computer technique and non-linear dynamics analysis method. It relates to a kind of generating method of brain potential non-linear trend chart. It comprises the following steps: first, collecting original EEG information from different position of scalp; A / D converting to digital EEG information; according to the non-linear dynamics theory and by adopting the trail of state space in time sequence reconstruction system, within one second, converting the conductive digital EEG information to non-linear index that relating to dimension, complexity and approximate entropy, which reflected the current non-linear dynamics characteristic; drawing the non-linear trend chart by using the non-linear index of time sequence, to reflect the non-linear dynamics characteristic variation condition of entire course. This invention can real-time monitor the anaesthesia effect, reflect the variation of anaesthesia effect accurately and promptly.

The invention discloses a strong reflection clutter elimination method based on a double-source IR-UWB (Ultra-Wideband) bioradar. Antennas of two different central frequencies are utilized to perform detection at the same time. Firstly, radar echo signals of two different frequencies are subjected to intra-channel pretreatment respectively, including distance accumulation in a space domain, and normalization, linear trend elimination and low pass filtering in a time domain, so as to achieve enhancement of weak life signals of human bodies; and then the radar echo signals of two different frequencies are subjected to inter-channel treatment after pretreatment, the self-adaption clutter elimination technique is adopted to eliminate interference of strong reflection clutter in a radar echo, thereby improving the radar detection accuracy.

The invention discloses a remote life micro-motion signal detecting method based on a terahertz Doppler radar, and particularly relates to the technical field of life micro-motion signal detection. The method comprises the steps of receiving four living body reflection echo signals in real time by the terahertz Doppler radar, and digitizing the four living body reflection echo signals by a multi-channel digitizer; suppressing static clutters in the four living body reflection echo signals; suppressing linear trend terms in the four static-clutter-free living body reflection echo signals; performing treatment such as complex signal demodulation on the four signals subjected to static clutter filtering and linear trend suppressing respectively, and processing results through set empirical mode decomposition to acquire a reconstructed vital sign signal; performing Fourier transform on the reconstructed vital sign signal to obtain a signal spectrum; suppressing a harmonic component, and taking peaks in the spectrum subjected to in-band harmonic suppression as estimated values of respiratory rate and heart rate respectively.

The invention relates to a method for inverting sea wave height and period based on water pressure, comprising: using a water-pressure-type wave height meter to measure underwater pressure intensity to obtain water pressure intensity time-series data; subjecting the water pressure intensity time-series data to Flourier transform to obtain a pressure spectrum; calculating pressure correction coefficient of sea wave by considering linear trend change of water pressure and attenuation of pressure wave in depth under water-layer filtering effect, and correcting the water pressure; inverting sea wave height and period of high temporal-spatial resolution according to spectral moment method or by subjecting the pressure spectrum to Fourier inverse transform and using zero-crossing separable wave method.

The invention discloses a diagnosis method for through-flow stage efficiency abnormality of a steam turbine high-pressure cylinder. The invention studies how to diagnose the cause of abnormal through-flow parameters of a high-pressure cylinder. According to the scheme, the method comprises the following steps: first, testing the influence of temperature change of inlet steam on the through-flow stage efficiency of a high-pressure cylinder, and judging whether there is a steam leakage phenomenon inside the high-pressure cylinder according to the linear trend of expansion of steam in a steam turbine; then, closing the electric doors of extraction steam in all sections of the high-pressure cylinder, measuring the pressure and temperature of inlet steam, exhaust steam and extraction steam in all sections, calculating the ratio of extraction steam pressure to after-stage flow under variable conditions, comparing the extraction steam pressure with the pressure after corresponding through-flow stage; and finally, determining the cause of through-flow stage efficiency abnormality of the high-pressure cylinder. The cause of through-flow stage efficiency abnormality of a steam turbine high-pressure cylinder is diagnosed according to boundary conditions by making use of the expansion characteristics of superheated steam in the steam turbine and the flow characteristics of superheated steam in the channel. The invention fills a technology gap in diagnosis of through-flow stage efficiency abnormality of a steam turbine high-pressure cylinder in our country.

The invention provides a target locating method for through-the-wall life detection radar. The target locating method comprises the following steps that step A: original signals are inputted and the original signals are arranged into a B-SCAN chart according to the channel number; step B: the static clutter and the linear trend term are removed for each path of original signal; step C: energy accumulation is performed on the life micro signal in the time domain and the peak in the energy spectrum is detected so as to determine the distance estimation value between the target and two receivingantennas; step D: FFT is performed on all the data of the slow time direction in the distance according to the distance estimation value given in the step C so as to obtain the echo frequency information of the distance and determine the distance between the target and the receiving antennas; step E: the time delay curve after wall delay correction is obtained according to the distance from the target to the two receiving antennas given in the step D; and step F: the intersection points of the time delay curve are solved to act as location estimation of the target.

A computer implemented method, computer program product and system for monitoring a plurality of hardware or software system resources for identifying hidden trends in the behavior of the system resources, includes: collecting metrics of at least one system resource indicative of the behavior of at least one system resource; for each of the at least one system resource, determining a spectrum representative of a time-based signal of the collected metrics; performing a wavelet transform on each of the at least one spectrum; and analyzing the result of the wavelet transform to identify possible linear trends in the behavior of the at least one system resource.

The invention belongs to the technical field of online information propagation prediction, and discloses a social media network event propagation key time prediction method, a system, and a medium. The method comprises the steps: carrying out the classification according to different time sequence features of social media network event online information; carrying out smoothing processing on the popularity time sequence with too strong volatility by adopting a Hort linear trend method; recognizing a time interval in which a key node propagated by the preprocessed social media network event occurs; carrying out time window division on the preprocessed time series data, and extracting time series, fluctuation and text emotion features based on online information data; constructing a prediction model training sample, and training a prediction model by adopting an XGBoost algorithm according to the training sample and the number of future time windows; and predicting the occurrence time ofthe key nodes in the event propagation process of the social media network by adopting the trained model. The method can effectively predict the occurrence time of the key node in the event propagation process of the social media network.