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Composition of cement CEM I 42.5 R, data from produced (insoluble remnants 0.7 wt. % and annealing loss of 3.3 wt. %) Component CaO SiO2 Al2O3 Fe2O3 SO3 MgO Na2O K2O wt. % 63.8 19.3 4.6 3.2 3.2 1.3 0.09 0.78 Fig. 4.
The data show that protection (barrier function – absence of continuous porosity) is not affected by type of coating but only by its thickness.
Based on available data, all three coating types also have higher mechanical hardness, abrasion resistance, flexibility and resistance to cracking during storage below freezing point.
Conclusions According to data from the producer, the coatings based on PE/PAK, PE/PPE and PAD have higher abrasion resistance, flexibility and cracking resistance during storage below freezing point compared to epoxy coatings prepared by similar technology.
[14] ČEZ – internal data (https://media.cez.cz/webdav/storage/videothumb/zbz_rev1.pdf).

These surfaces are now applied in many fields, such as aerospace, green energy, biomedical engineering, and illumination for improving products in regard to both functionality and size reduction [1].
In this process, the fiducials on the fixture are also measured to form a reference datum which is used to construct a reference coordinate frame (RCF).
All the measured data including the measured surface as well as the fiducials are transformed to the established RCF.
In the FA-CAD, the reference datum serves as the invariant features of the DS in the later manufacturing and measurement process.
The geometric errors of the machine tool are evaluated by comparing the on-machine measured fiducials with the reference datum of the FA-CAD.

The DOE is used in generating training data samples with the objective to select appropriate design points (input level) for response (output) evaluation [3].
The basic concept of RSM is to construct approximation of the input-output function based on a set of data samples generated through the DOE process.
It explains the total variation of the data around the average and the value is in the range of 0 to 1.0 where value near to 1.0 indicates that the models are in a good fit.
Thus, the utilisation of another modal data as RS response features is recommended for better prediction.
Generally, the efficiency of DOE is case dependent where different cases provide different output performance where in this study, the DOE is selected based on frequency data only.

Numerical computer modeling of physical processes gives some advantages in comparison to a natural experiment: · reduction of time of development and design of new constructions; · modeling the conditions, unachievable in a natural experiment; · obtaining more scientific and technical information about the studied object; · saving of material resources; · fast correction of the model allows reducing the time of studies.
Formulation of the problem Tasks of study: · to test the ANSYS CFX package for calculation of a stationary spatial flow in a compressor on the basis of verification of the numerical simulation results with data measurements data from a natural experiment with a turbocharger; · to construct a multiple-purpose technique of numerical study of turbocharger compressor, as an instrument for developing gas channel geometry of a wheel and an elbow to reduce the gas-dynamic losses during air compression.
Algorithm for the numerical simulation: · formulation of numerical problem (definition of basic data); · construction of geometry of gas-dynamic area of air flow, i.e., the domain in the program for three-dimensional modeling of Unigraphics NX; · construction of mesh model of the domain in the mesh generator Icem CFD; · construction of a computational model with boundary conditions in the Ansys CFX, based on mesh model; · verification of the results of numerical simulation with experimental data.
The experimental data were obtained at the test rig for turbochargers of transport engines in Scientific and Technological Center OJSC KAMAZ [5].

Experimental methods and data analysis This experiment is based on wood fiber matrix, adding short carbon fiber composite increased, with reference to the manufacture of medium density fiberboard pressing process standards to complete the process.
From the experimental data of figure 1 analysis, the isocyanate can be better to pass between the wood fiber and the stress of carbon fiber, composite materials and close to normal density fiberboard E, the composite value of the bond strength compared with the prime board has some enhancements.
In the same circumstances to a single surface of carbon fiber composite carbon fiber wood composites to the internal bond strength than double the surface of the carbon fiber composite wood composite materials, but with increasing carbon fiber content of their internal bond strength has a different degree of reduction Table 1 The mechanical properties of fiber composite materials Specimen Density(g/mm^3) IB(MPa) MOE(MPa) MOR(MPa) Laod(KN) A1 A3 A5 Average B1 B3 B5 Average C6 C3 C5 Average D1 D3 D5 Average E1 E3 E5 Average 0.7926 0.7715 0.7966 0.7869 0.7693 0.7520 0.7733 0.7649 0.7970 0.8075 0.7996 0.8014 0.7002 0.8020 0.8393 0.7805 0.7558 0.7499 0.8188 0.7748 0.5681 0.592 0.5564 0.5715 0.5331 0.5415 0.5714 0.5487 0.5894 0.0116(Rejec) 0.5315 0.5604 0.5651 0.5594 0.4901 0.5382 0.5146 0.5499 0.5258 0.5301 5083.7873 5548.5598 5699.6046 5443.9840 4741.2639 5850.6523 4826.9116 5139.6092 6292.1647 7192.1975 6610.0438 6698.1353
Select On after I sbstp, in Current LS is solved in [7], to obtain the stress contour in all directions, as shown in Figure 4, in the view in the Nodal Solustion stress components and equivalent stress; based carbon fibers and general mechanical MDF performance data, analysis and forecast of the maximum load of composite plates 6.698KN, the measured data range.
Summary In this paper, experimental analysis was conducted to show that after the carbon fiber composite material of carbon fiber wood internal bond strength, elastic modulus and bending strength and does not impose a carbon fiber pure data when compared to more significant improvement.

Sample data and patient data 30 patients (12 males and 18 females; average age, 50±9.8) admitted from June 2011 to December 2011 were included in this study: 10 cases with glomerulonephritis, 6 with diabetic nephropathy, 9 with nephrotic syndrome, 3 with IgA nephropathy and 2 with drug-induced nephropathy.
Measurement of ADC values ADC values were measured at a workstation according to the ADC map obtained by calculating scanning data using multi-b-values with processing software installed in the Philips workstation.
Data statistics SPSS 17.0 was applied to analyze data: ⑴ one-factor analysis of variance was used to compare ADC values of kidneys among the 3 groups and LSD-t was applied to determine the difference of ADC values between these groups; ⑵ Pearson's test was used to analyze the correlation between ADC values of kidneys under multi-b-values and GFR determined by using 99T㎝-DPTA.
We conclude the possible reasons as follows: ①Relatively small sample size; ②The main pathological manifestation of kidneys for patients with mild and moderate renal failure is the reduction of renal microperfusion.

Sampling frequency set to 10 kHz.A total of 400 groups sample data respectively normal state,ball fault, inner circle fault and outer ring fault are acquired.Each state random 60 group,a total of 240 group sample data is for this research.
Fig.2 Bearing 4 typical state of vibration signal time domain waveform All bearing vibration signal of 240 group sample data are decomposed by improve EEMD after EEMD threshold noise reduction.The bearings four different state of 240 group IMF component and surplus R are got.The energy of the IMF component and the surplus R and normalization are worked out.Total 240 group 9d (8d IMF component C1 ~ C8 and 1d surplus R) normalized energy as a sample characteristic vectors stablish SVM classifier.
The 20 group sample data in random each from normal and ball fault sample constitute training set.The 40 group training sample in all and 9d characteristic vector show in fig.6.
Advances in Adaptive Data Analysis，Vol.1(2009),p1-41 [6] Meijun Zhang,Sichen Han,Chuang Wang and Shuguang Li.

Results and Discussion The Hall effect data (RH=rH/ne) were analyzed by assuming rH=1 [5].
Due to the limited space of the paper, the Hall data for C + -/N + - and Ne + -/N + -co-implanted samples are not shown.
The solid curves in Fig. 2 correspond to least-squares-fits of the neutrality equation to the experimental data (see [4]).
Concentration of N donors and of the compensation as determined by the fit of the neutrality equation to the Hall effect data.
In a first step, we compare the data of samples annealed at 1700°C.

Work Expert system works can be described as follows: For a large forgings, the first in the forging process the metal structure of dynamic test data, such as encoding parameters, encoding and fault category corresponding to the formation of learning samples, respectively, assigned to the knowledge base, through the learning samples to get the network weight matrix.
Accused of human-machine interface to the data object into a dynamic database, inference engine based on the knowledge in knowledge and dynamic real-time data in the database of reasoning, whether the system is obtained and what the failure fault, and then to evaluate the diagnostic results and decision-making, troubleshooting, and then repeat the process.
(3) Knowledge acquisition databases: reasoning used to store the initial data, intermediate results and final conclusions of the memory
Condition Conditions Conditional Conclusion 1 1 Module W / Module high <0.5 and irrational processes and Irrational process 2 W / module high <0.4 and 3 reduction rate <10% and Expert knowledge acquisition is to establish a sound system, sound and effective knowledge base.
Commonly used method has specific sort, sort order, data order, the nearest sorting, size sorting, the system uses the order of ranking method, combined with recombinant technology knowledge base, the rules of the higher frequency of use as a priority rule.

Debris flow disaster risk analysis is the basis of management, prevention and reduction of disaster.
Study area and data collecting In this study, Xiu Yan County, An Shan City, Liaoning province in China was selected as study area.
In this paper, triangular membership function is applied and according to our experience it reflects the best the failure rates data.
In the traditional event tree analyses, the input variables and outcome data are both treated as exact values using an appropriate mathematical approach.
A total of 39 typical debris flows in the study area were selected as the experimental data.