RESULTS:Standard deviation of normal-to-normal intervals(SDNN),rate of mean square deviation of successive R-R intervals(RMSSD),the percentage of R-R intervals>50ms(PNN50) and high frequency(HF) all obviously increased after treatment;
The merits and weaknesses of mean-square deviation calculation and mean deviation calculation are analysized and compared, and measures to be taken by filatures for the adaptation of the mean-square deviation in carrying out the new standards are suggested.
After the ratio value of Z component about day to day ratio of day amplitude surpasses 5 time of mean-square deviation,it is better that the corresponding earthquakes with MS5 in the range of 270 km around them. And it passed R value test with 97.5% level. It showed that it had the good potency to forecast earthquakes.
confirmation of seismogenic region is made if mean-square deviation with more than 2 times is released by the loaded area and there is piling up pattern of earthquakes with M3 0～4 9 in space and time and inner correlation among different precursor anomalies in near-source region is considered taking the seismogenic region as loading body;
Extensive simulation results show, that algorithm adapts to fast time-varying data like orbit parameters of the space target, and quadratic mean deviation of the orbit parameters estimated excels the theory quadratic mean deviation of various sensors, and less than the LMS estimation' s.
The theory analysis and computer simulation show the maximum quadratic mean deviation of the compensation is 0.1300 and that off-the shelf algorithm of compensation is 2.9773. It is obvious that the method is efficient.
As the LMS algorithm is a kind of noise gradient method, the convergence gain should be lessened gradually to ensure that the quadratic mean deviation of the steady state takes the quadratic mean deviation of the system as its limit.
The theory analysis and computer simulation show the maximum quadratic mean deviation of the compensation is 0.1300 and that off the shelf algorithm of compensation is 2.9773. It is obvious that the method is efficient.
Using a seismic location method put out by Prugger et al in 1988, by adding the stochastic disturbance at differen quadratic mean deviation levels, in numerical wodelling for locating those earthquakes which just occurred in outside of seismic network or the seismographic stationis are scarce, their final results obtained are good.
SLSF method and non-selective least square fitting(NSLSF) method were used to analyze the Paw,V' and V data at the near-relaxation state. Comparisons were made between fitting efficiency parameters including Root mean square difference(RMSD) and determining coefficient(R2) of SLSF method and that of NSLSF method.
The mean square difference method which has a relatively high precision was introduced to ensure the index weight, avoid the subjective judgment with artificial experience and improve the objectivity and accuracy.
Based on the survey data of 40 airports,the mean value and mean square difference of structural parameter probability distribution have been got,to find out the variation scope of structural parameter.
The comparison of IWV estimates derived from GPS and radiosonde observations for a 51 day period at Shantou station is given. Both have an average bias of 6.5 mm,and the root mean square difference is 4.3 mm.
The expressions obtained for the mean square deviation from the initial direction of beam propagation generalize the "3/2 law."
It was demonstrated that the mean square deviation of the received power is defined by a parameter equal to the ratio of the aperture diameter to the characteristic dimension of the spatial variations of the light field.
The root mean square deviation is 0.001 5 nm for the bond length and 1.753° for the bond angles.
In this paper, we prove inequalities for the mean square deviation δN,n of the N step transition matrix from the equiprobable matrix for certain random affine walk in the residue ring modulo n with dependent linear and drift components.
A mean square deviation of the polarization direction of 5 s of arc results for a typical He-Ne-laser.
Mean-square deviation was employed to determine the weight of each factor and then step-up multilayer synthesis with linear weighting function was used to build a two-level hierarchy and collection index health consultation model.
The root-mean-square deviation between the experimental and calculated characteristic temperatures varies from ～?30 K (for the glass transition temperature and the Littleton point) to ～?50 K (for a viscosity of 104P).
The root-mean-square deviation between the calculated and experimental heat capacities of melts is equal to ～2.5 J/(g-atom K), which corresponds to a relative error of 8-10%.
Calculated values of the mean-square deviation showed that the iteration method provides a higher accuracy.
It is shown that taking into account multiply charged ions reduces the relative root-mean-square deviation from 0.18 to 0.03.