Search results

From the above results, we found that the (002) characterized peak shifted to high angle with higher Al3+ concentration, it also can be conjectured that the Al atoms had the smaller radii than the Zn ions, the crystal structure of AZO nanorods were distorted by Al3+ ions substituted the Zn2+ site to form the AlZn, and it result in reduction of lattice constant.
According to the above results, the Al concentration of AZO nanorods (60 μM Al(NO3)3 in the bath) were 2.84 at.%, other Al3+ concentrations of AZO nanorods, And the Al concentration of 20 μM, 80 μM, and 100μM Al(NO3)3 were obtained by XPS semi-quantitative analysis were 1.40 at.%, 3.61 at.%, and 3.90 at.%, respectively (the related data are not shown in this paper).
Ag/AgCl) at cathode surface, and the following reaction was that hydrogen reduction took place at around -0.205V (vs.
As obtained from the cathodic polarization curve this was the reason that we set the electroplating potential at -1.0 V for ZnO electroplating, and the nitrate ions have dominated these reductions.
The standard reduction potential of Al3+ ions were quite negative (at -1.867 V vs.

In addition, Principal Components Analysis (PCA) is used to extract the main features of the wavelet order spectrum and reduce the volume of data.
Using few main components, it can keep most the original data set intact without mutual relationships to achieve the simplifying data
The wavelet order spectrum method with PCA, through the selection of principal components as principal features for the fault diagnosis, reduces data dimensions of the wavelet order spectrum.
The SOM neural network learning algorithm can automatically find it’s similarities between input data, with the configuration of input which close to the output layer neurons, and thus forms the input data which can be selectively provided to the reaction grid.
In addition, through the PCA data reduction process, training time can be reduced to 85 seconds.

This study surveyed and collected the urban trunk traffic flow data of Bayi South/North Street in Jinhua.
Bayi South/ North Street Traffic Flow Data Analysis.
(1) The traffic flow data convert.
The traffic data of whole sections in Bayi South /North St. at weekday evening peak hour (5:00 to 6:00 pm) was showed in Table 3.
Summary This study research surveyed and collected the urban trunk traffic flow data of Bayi South/North Street in Jinhua.

Theoretical analysis and data processing were conducted based on the theories of fracture mechanics and general rock mechanics, relations between the feature strength of three stages and the stress state were obtained, and a method was put forward for analyzing the brittle shear failure of rock material.
Researches showed that strength will be proportional reduction for the existing of double or three cracks.
Mine-by tunnel experiment data were applied for the calculation and analysis of mixing strength.
According to the data from Mine-by tunnel test, Hoek-Brown strength and tested values existed a certain degree of deviation in strength computation under low confining pressure, and returned to be coincided in high confining pressure [8].
Strength analysis of mixed granite of Shuichang is carried out by the brittle shear failure mode analysis with the method of data fitting, and the correlation coefficient is 0.9836.

The task of obtaining suitable welding parameters for the friction stir welding process is often a difficult one, due to the lack of published data and the fact that the exact mechanism by which the process operates has not yet been fully determined.
This reduction leads to the parameters being obtained more rapidly and at a substantially smaller cost.
Their main advantage is the fact that they allow a significant reduction of the number of experimental tests needed for conducting an optimization operation.
Pin to Shoulder ratio (φe/ φp) 300 400 500 2.5 0.014 0.014 -0.028 3 -0.014 -0.014 0.028 Welding Speed (V) [mm/min] Discussion and Conclusions By analyzing the data in Table 2 it can be concluded that the tool parameters, φp and φe, as well as the pitch angle α do not possess a strong direct influence in the welding quality.
The value for φe is selected by analyzing the data in Table 5, which means it should be 15mm.

Collected data are correlated with meteorological conditions.
The device handles all operations needed for a measurement, namely energizing the hot-ball sensor, measuring its temperature response, storing the scanned data and wireless data communication for managing the device using a laptop.
A sequence of monitored data related to the effect of freezing – thawing is shown in Fig. 4.
Data are taken from the sensor that is located at 450 mm.
We have data on Sander sandstone only where magnitude of the thermal conductivity change for saturated and dry sander sandstone is 29% [11].

The data were collected with a 0.01o step size and a count time of 60 s/step.
Diffraction data sets were refined by the Rietveld method using the FullProf software [19].
Rietveld refinement of the XRD data confirms the symmetry and the space group and gives other structural parameters.
Fig. 1 shows the Rietveld refinement of the XRD data and Table 1 shows the refined structural parameters.
Rietveld refinement of X-ray powder diffraction data.

Domestic scholars have done a lot of work in the aspect of random error compensation algorithm for MEMS devices, the autoregressive moving average (ARMA) model of general method because of not using the low order data covariance, only using the high order data covariance construction of Yule-Walker equation, thus leading to the observation noise variance estimation accuracy is not high, and in the moving average (MA) order q order is greater than or equal to p order autoregressive (AR) can not be estimated noise variance Therefore, this paper will approach the sample variance coefficient and time series stationarity test are combined to determine the appropriate modeling sample length.
The theoretical analysis Determine the modeling sample length For discrete time series modeling ARMA sampling data requirements must be stable, the ring method mentioned in reference [12] are used for stationary test.
Test results According to the model and the modeling sample length principle, the output of the ADXRS150 gyroscope are analyzed, to determine the model using ARMA (2,1), modeling sample length by 2225 sampling data is appropriate. system state equation and measurement equation of ARMA (2,1) as follow: = + =+ (2) In the type(2), is white noise sequence that has the mean value of 0 and The variance value of 0.019. is white noise sequence that has the mean value of 0 and The variance value of 0.286.
Noise reduction of laser gyro drift signal [J] based on improved wavelet threshold, Chinese Journal of scientific instrument, 2011, 32 (2): 258-263 [2] Tan Zhenfan, a Qintuo error identification and compensation of.MEMS gyroscope [J]. sensor and micro systems, 2010, 29 (3): 39-41 [3] Cai Xiong.
Determination of sample size problem of [J], random data processing in construction machinery, 1993,4:16-21 [9] Meng Tao, Wang Hao, Li Hui, modeling and filtering method for.MEMS gyro error [J]. systems engineering and electronics, 2009, 31 (8): 1943-1948 [10] Yang Shuzi, Wu Ya, Xuan Jianping.

In particular, data about TBBPA technology come from literature (secondary data) while data concerning nanoclays production have been directly supplied by a NANOFIRE partner (primary data).
The Boustead v.5 software was used as calculation model and as main source of secondary data.
Preliminary results have been achieved on polypropylene-sepiolite systems by Camino and coll., testing the materials by means of an oxygen consumption cone calorimeter apparatus; a reduction of the peak of the rate of heat released during combustion of 56% by adding 5 wt.% of pristine sepiolite was achieved [8].

It can be known that the major phase of this product powder is FeSe2, which was indicated by comparing experimental data with different standard pdf cards of No.65-2570 in Fig.1a, No.21-432 in Fig.1b, No.74-247 in Fig.1c, However, in this powder sample there is obvious impurity phase Se indicated by the peak at 2θ angle between 35~37º, comparing experimental data with the standard pdf card of No.47-1515 in Fig.1d.
It can be seen that the major phase of this product powder is FeSe2, which was identified by comparing experimental data with different standard pdf cards of No.21-432 in Fig.1a, No.89-4075 in Fig.1b, No.79-1892 in Fig.1c.
Only Se peak appears at 2θ angle of 31.5º, comparing experimental data with the standard pdf card of No.83-2437 in Fig.1d.
Only Se peak appears at 2θ angle of 31.5º, comparing experimental data with the standard pdf card of No.32-992 in Fig.1d.
Chen, Selective synthesis and magnetic properties of FeSe2 and FeTe2 nanocrystallites obtained through a hydrothermal co-reduction route.