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It was a kind of very effective method of identification, data mining and signal processing.
Savitzky-Golay smoothing method of time series was applied to dynamic time warping method to filter signal, smooth noise data, eliminating data points with large errors obstacles.
Phase compensation method was used to enhance smoothness and robustness and improve singularity problem of dynamic time warping signal processing for reduction of the data transitions.
Time series data was processed to data with waveform characteristics used derivative method.
Only signal data in searching window was calculated used the algorithm.

The quality of mixing was assessed through intensity and scale of segregation using concentration data obtained through energy dispersive X-ray spectroscopy (EDS) and X-ray diffraction (XRD) analyses.
It was observed through these two tests that, increase in ball milling time after 6 hours resulted in grain size reduction.
Cui et al. [10] showed that the addition of carbon-nano tubes in concrete increases the hydration rates and stronger bonds build up between the carbon-nano tubes and the cement paste, while Petrunin et al. [11] recorded increase of 70% in the compressive strength of carbon-nano tubes reinforced concrete and reduction of 12% in the heat conductivity.
After 1, 2 and 6 hrs. of milling, the sample still contained the three forms of elemental powders, but with further milling (24 hrs.), peaks were reduced, showing that increasing ball mill time after 6 hrs. led to grain size reduction.

It can be reason of difference between the CFD results and the experimental data.
The comparison of two results of numerical simulations with the experimental data [8] is shown.
We evaluated the value of the kinetic energy loss coefficient ζ = 1-M2*2M2is*2 (where the Mach number M2is*2 is related to the inlet free-stream total pressure) applying the data reduction method on data from traversing line.
The start of transition as well as the transition length are even captured in good agreement with the ERCOFTAC data.
Numerical calculation of the VKI test case for all used methods gives results, which are similar to experimental data.

Or fitting empirical data to a non-linear model in its original form.
Firstly, the experimental data are entered into the sheet with the independent variable (t) data column preceding the dependent variable (q) data column.
Then, the data are plotted to obtain the graph of q against t.
Next, an error function model is added to calculate and evaluate the deviation of the experimental data from the model data.
In isotherm study, a model is first proposed, the experimental data are processed according to proposed model and the isotherm data are then plotted.

Zhang and London (2011) generated a new sustainable development measurement according to the characteristics of construction industry, the availability of data and other sustainable development indicators system which have been proposed before.
This paper will introduce a sustainable development measurement generated by Zhang and London in 2011, according to the characteristics of construction industry, the availability of data and other sustainable development indicators system which have been proposed before [1].
Sustainable development emphasizes technology innovation, efficiency improvement, resource savings and waste reduction [6].
Data and discussion All the data used in this research are from the National Bureau of Statistic of China.
After analyzing the data, some findings are provided.

The S-N data does not reach a horizontal asymptote at 10 7 cycles in either of the alloys.
The benefits of weight reduction and consequently, fuel saving, are important to the automotive industries.
The fatigue data of specially cast and heat-treated samples of magnesium alloys were found to be not representative of the behavior of actual cast components, unless cast under conditions similar to them.
Results and discussion The fatigue behavior (S-N data) for the alloys is presented in Figure 2.
While both the materials show a monotonic behavior in their fatigue characteristics, the variation in the S-N data of AM60 is gradual and much less steeper when compared with AE42. 20 40 60 80 100 120 1.

Combined with the model test data, the nonlinear elastic parameter model between the finish .deformed rebar vertical tensioning force T and the space elastic support stiffness K is established.
The field test process indicates the box girder web finish deformed bars vertical prestressed tensioning force insufficiency rate is nearly 45%, which attributes primarily to the following reasons: 1) Operational errors: For some human reasons the nut torque insufficient and resulting in vertical perestressed tension reduction. 2) The exposed section is too small (<8cm) to take tension operation. 3) Anchor plate installation errors: the angle between the nut and the anchor plate can resulted in excessive loss.
Since there’s so much test data, only a part of test data is presented in the paper as shown in Table 1.
Table 1 Parts of the indoor model test data Exposed section length L/ m Tensile force T/ kN Frequency f/ Hz Stiffness K/ (MN×m-1) Exposed section length L/ m Tensile force T/ kN Frequency f/ Hz Stiffness K/ (MN×m-1) 0.075 123.3 803.75 617 0.185 281.5 368.75 1010 0.086 220 800 811 0.195 94.9 262.5 587 0.09 427.8 831.25 959 0.201 398.4 325 974 0.098 337.1 788.75 1030 0.205 377.2 298.5 865 0.108 336.1 752 1160 0.216 318.4 277 853 0.118 335.7 641.25 1030 0.219 419.1 306.25 1080 0.123 248 571.25 895 0.223 164.2 245 726 0.127 404.2 638.75 1210 0.227 370.2 257.5 840 0.139 388.3 573 1200 0.234 170.5 227.5 711 0.144 127.1 433 747 0.243 160.7 213 689 0.156 329.25 476.25 1100 0.254 132 201 690 0.161 430.4 478.5 1200 0.257 327.6 214.5 811 0.178 440.7 395 1050 0.26 432.4 218 864 From the study and analysis about the stiffness K: 1) K value shows non-linear growth along with the tensile force. 2) Under the same level of tensile force, the first vibration mode f shows the non-linear decreasing
Statistical data analysis the data of fig. 9, get this method test value and extension test correlation coefficient value of 0.98.

Count-method block diagram The data of diameter calculation always appear abnormal wave.
Experimental data is shown in Figure 5.
It can be seen by the data of Figure 5, the improved Count-method for the uncoiler applications is more accurate.
Linear/ Angular Velocity data curve With the speed of line becoming fast, roll diameter changes quickly.
Experimental data curve is shown in Figure 7.

The impacts of the estimation by noise, harmonics and data window length are investigated.
Frequency estimation of model (2) with different data window length when SNR is 60dB.
Frequency estimation of model (3) with different data window length when SNR is 60dB.
Relationship of MSE, noise and data window length.
By lengthening the data window can partly suppress the noise interference.

To the best of our knowledge no such data are available in literature.
The residence times were calculated using only the volume data of the hot runner.
The residual acetaldehyde data exhibits a non-linear behavior with respect to the residence time, for each temperature.
The model was the fitted to the experimental data.
In fact it is sufficient to change only the process temperature for evaluate the generation of acetaldehyde to vary the residence time, as confirmed by the experimental data.