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The data from the Wuhan-Guangzhou high-speed rail shows that in acoustic environment functional area II, the equivalent continuous A-weighted sound pressure level (Leq) decreases by approximately 0.9 dB(A) averagely, after installing two meters noise barriers [2].
The sound level of model is similar to the data from field measurements.
The combined uses of the two types maximize the noise reduction.
ii) There are two reasons why the noise reduction performance improves.
Comprehensive system prediction Before studying the noise pollution, a survey on Hangzhou railway noise was carried out and a great amount of data have been acquired.

Generalization of the results of experimental studies and thermodynamic modeling made it possible to obtain new data on the influence of the basicity and content of B2O3 in the slag of the CaO-SiO2-B2O3-MgO-Al2O3 system on the interphase distribution of sulfur and boron.
The shift of the formed slags to the area of ​​increased basicity up to 5.0 shows a high degree of boron reduction from slag to metal.
In addition, when boron oxide is used in the slag, the process of boron reduction occurs [14].
In this case, along with the high desulfurization of the metal, the development of boron reduction from the boron-containing basic slag is observed, the concentration of which approaches equilibrium within 10 minutes, reaching 0.017%.
Experimental content of boron and sulfur in the metal under the slag of the investigated compositions Summary Theoretical and experimental studies of sulfur and boron behavior made it possible with minimal time and material costs to obtain new data on the equilibrium distribution of sulfur and boron between the of CaO–SiO2–B2O3–25%Al2O3–8%MgO slag system, in a wide range of chemical composition and between the metal, containing 0.2% C, 0.35 Si and 0.028% Al, at 1600°C.

The phase purity and chemical purity of hafnium chloride has immense influence on the following process namely, Kroll’s Reduction.
The data leading to optimised process parameters for the production of phase pure material has been presented.
Hafnium oxide is converted to hafnium chloride using a reductive chlorination process prior to reduction.
The HfCl4 is then sent to Reduction Section for further processing.
Fig.3 Process Flow Chart for Carbo-Chlorination Table 4 Experimental data on elemental analysis Element Test Results (in %) Batch 1 Batch 2 Batch 3 1 Iron 1.13 0.17 0.6 2 Calcium 0.009 0.003 0.9 3 Aluminium 1.96 0.41 0.3 4 Titanium 7.46 1.0 0.4 5 Nitrogen 0.082 0.095 0.02 6 Silicon 0.094 0.012 0.009 7 Chromium 0.024 0.041 0.021 8 Magnesium 0.034 0.008 0.23 9 Nickel 0.082 0.095 0.022 10 Zirconium 0.87 0.29 0.5 11 Hafnium 80.44 85.45 89 X-ray diffraction (XRD) Studies Phase purity is confirmed by analysing XRD and diffraction patterns of Hafnium Chloride powder in the Fig. 4, which shows that no impure elements were present.

The one of actions for cost reduction is to decrease the defect in operation.
One of the concerned cases is the reduction of spindle motor defects in vibration process [2].
With the data collection during December 2011-November 2012, an average part per million (ppm) per month of 3*3 QFN defect is 5,913 resulted in a company cost of 574,566 Baht per year.
The process capability index is calculated with the same data from 250 samples.
Senjuntichai: Spiral Defect Reduction of Hard Disk Drive Media.

The vacuum of 10 Pa and temperature level of 1200°C were maintained in 4.5 hours for the MgO reduction.
Table 1 Weight data of input (briquettes) and output (products) materials for the early pilot tests and F contents analyzed in the products, % (weight percent) Test Briquette materials [kg] Products from test [kg] F content in products [wt%] No Dolime FeSi Fluorite Mg slag Mg ingot K and Na condensate Mg slag Mg ingot K and Na condensate 1 5.0 0.84 0.25 4.1 0.9 0.031 2.6 0.064 0.169 2 4.5 0.84 0.25 4.2 0.8 0.023 2.95 0.042 0.166 3 8.13 1.67 0.25 7.1 1.8 1.57 0.022 — 4 8.13 1.67 0.25 8.3 1.85 0.061 1.24 0.047 0.07 Table 2 Results of F balance calculated using the data in Table 1 for input and output materials of the early pilot tests Early pilot test 1 2 3 4 Input of F [g] In briquettes 115.7 115.7 115.7 115.7 Output of F [g] In Mg slag 106.6 123.9 111.47 102.92 In Mg ingot 0.58 0.34 0.4 0.87 In K and Na condensate 0.05 0.04 0.04 Total F-output 107.23 124.28 111.87 103.83 (F-output)/(F-input) [%] 92.68 107.42 96.69 89.74 (F in Mg slag)/(F-input) [%] 92.13 107.09 96.34 88.95
Table 2 lists results of F balance computed by using the data in Table 1.
These data are presented in Table 3 and used in Equation 1 to calculate recovery of F in Mg slag from F added in the charged briquettes.
The high rates of F recovery indicate little or no F compounds leaving the retorts during MgO reduction. 3.

For the examination of the feasibility of the concept, CT-data of canine pelvis geoemtries are used because of the large number of CT data, which were aviable for the project.
Furthermore 8 different analysis are executed where always 1 basic geometry is compared with the remaining 7 basic geometries.Data 1 Data 2 Data 3 Data 4 1.
Deduction Level Data 1/2 Data 1/3 Data 1/4 2.
Deduction Level Data 1-2/1-3 Data 1-2/1-4 3.
Deduction Level Reference Test Fig. 5: First deduction sheme of the universal geometry Universal 2 Data 2 Data 1 Data 4 Data 3Data 3/4 Data 1/2 1.

The quantitative analysis obtained by EBSD data shows the development of a strong (<110> // ND) texture of the ferrite phase leading to a structural transformation from isotropic to anisotropic. 1.
On the other hand, the reduction of interlamellar spacing and the refinement of grains size.
The EBSD data were then treated with the OIM Analysis software, developed by the EDAX company.
The cleanup procedure used to analyze the data was a Grain Dilation (one iteration, minimum grain size = 5, grain tolerance angle = 5) followed by a Grain CI Standardisation (same parameters).
Finally, we can say that the increase of the wire drawing is accompanied certainly with the reduction of the grain size.

However, in practice, it is very difficult to obtain large amounts of data sample.
In generic terms, SHM consists of a sensor system, a data gathering system, data processing, damage analysis and a modeling system, etc.
A small sample of modulus of elasticity data then can be obtained based on this group of strength data.
In addition, support reaction data can also be applied to the damage detection module in the SHM of bridges.
New Damage Localization Method for Bridges Using Vertical Support Reaction Data under Truck Load [J], J.

A reduction in minimum temperature was observed to promote a decrease in TMF life by as much as a factor of ten for all TMF experiments.
Arrel et al. [5] and Kupkovits and Neu [6] showed for the Ni-base superalloys tested that through a reduction in the Tmin from 400 to 100◦C and 500 to 100◦C, respectively, exhibited a factor of four to five reduction in life for OP TMF conditions.
A reduction in the Tmin was observed to result on average in a 65% net reduction in life across all conditions tested.
Fig. 2: Influence of minimum cycle temperature on OP TMF life. 45% reduction in life.
To protect proprietary information, the data is normalized by reference values.

Relationship between Correlation Distance and Sample Spacing In order to analyze the effect of sampling space of data on the calculation correlation distance, the data is collected of 10 static cone penetration holes from some a construction field of high-rise building in Taiyuan in China.
The relationship is described in figure 2 between correlation distance and different sampling space of data.
At present the sampling space of exploration data is generally between 1m and 2m and sometime is even larger, which makes us not to find the real correlation distance because of littler data and larger sampling space.
So we can obtain reliable calculated result of correlation distance when sampling space of data is equal to correlation distance on the whole.
According to exploration datum, the vertical and horizontal correlation distances of typical stratum are analyzed in statistics based on a large amount of investigation data and the representative values of correlation distance of local area are obtained, which can be seen in Table 2 and Table 3.