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It is also necessary to find out which irrelevant phenomena and parameters may be disregarded, and which simplifications (aggregation and reduction) are acceptable for the desired accuracy of the solution.
CFD software The disadvantage of some approaches of simulating the methane flow (Mesh modeling; Modeling of dynamic processes - Powersim, Sipro; Statistical analysis of temporal data, Use of Artificial neural networks) is that they do not provide us with complete information about the behavior of the gas.
Another advantage of this approach is that not only do we get the numeric data, but also various images and animations, based on which the behavior of mining gases can be predicted.
Model description For developing the model of the studied example, we used experience gained from the Grant project No. 105/98/KO45 GAČR [3] and from measured/monitored data for verification of the designed models and simulation results.
Modeling and simulation experimental results In this part of the paper, the basic results of modeling and simulation of gas flow from underground to the surface are demonstrated using images and numerical data.

Input currents are calculated with an external equivalent circuit model using experimental data acquired from a prototype PMSM.
Regarding data acquisition, in order to achieve sufficient resolution of the computed parameters to be used as model outputs, a convenient rotor – input current space–time shift has been adopted.
It is made clear that the injection of the torque ripple on the controller’s torque command is favorable a propos to the reduction of the machine’s torque harmonic component.
The model achieves an accurate representation of the machine’s torque ripple under various loading conditions by combining precise FEM modelling on one hand and circuit analysis based on real-time data collected from an actual PMSM prototype on the other.
The resulting data is then parameterized and used for cancelling the remaining torque ripple from the machine design stage through a convenient controller.

The initial objective of the reduction of the standard deviation of the output has been replaced by the satisfaction of an assigned condition (target), defined by engineering or marketing considerations, to be reached within an assigned probability value.
a / 2 [mm] 60 80 100 120 σσσσns [MPa] 0 20 40 60 80 100 120 Experim. data Numer. data a0 = 150 mm Fig. 1: Numerical-experimental comparison a / 2 [mm] 60 80 100 120 σσσσns [MPa] 0 20 40 60 80 100 120 Experim. data Numer. data a0 = 120 mm Fig. 2: Numerical-experimental comparison Analysis of results and conclusions A total of 6 runs, each one of 15 shots, has been considered adequate to satisfy the target, even if at the end of the procedure an extended MC must be performed in order to assess the obtained results from the 15 shots of the last satisfying run.

A study report pointed out, more than 50% of the errors are introduced in the requirements phase, and at the same time only 8% can be found, which is obviously not conducive to cost reduction[1,2].
Fig 7 Duty different between Fig 8 Direction different between floating-point and fixed-point model floating-point and fixed-point model In order to improve the efficiency and readability of the code, we need configure the parameters and manage the data.
The data needed had been saved in the file power_window_data.m.
In the generated code, the ert_main.c is a optional main function, the power_window.c is the algorithm function, the rtwtypes.h file defines the data types, and the Power_window.h file defines the global variables.

Table 1 Chemical components of FV520B Chemical components and mass fractions [%] C Mn Si Cr Ni Mo Nb Cu S P 0.03 0.41 0.30 14.51 5.24 1.95 0.65 1.54 ≤0.025 ≤0.030 Table 2 Physical and mechanical properties of FV520B Yield strength [MPa] Tensile strength [MPa] Elongation [%] Reduction of area [%] Surface hardness [HV] 1182 1229 14.3 61.3 300 Test Method.
So the Eq.1 can be simplified as: （2） Based on the experimental data, key parameters of simplified version of the model were determined by regression fitting.
The calculated data was agreed with test data very well: the error was about 6% at low and high impact angle, but a little larger at 30° - 60°, and the maximum error was only about 14%.
When the particle diameters ranged from 7μm to 14μm, the results of calculation model did not differ by more 10% from the experimental data, which indicate that this calculation model had high precision in predicting the influence of particle diameter to erosion rate.

At last,The real flow potential of different villages and towns were classified, and calculates its real flow potential in the future. 3.The regional situation and the data of sources Heyang county, is located in the east of shaanxi province with a terrain stepped and with a total area of 1341.6 square kilometers, including 65.6%plain , 18.2% ravines, In recent years, with the rapid development of economy and urbanization, a huge construction land demand, at the same time also produced a large number of idle land.
This instance data mainly comes from the heyang county land utilization present situation chart, heyang county land bureau <>, heyang county land use status quo level classification area of summary tables, and land change data in recent 5 years, heyang county bureau of statistics, the heyang city master plan (2011 edition)" and the author in Yang sampling survey data. 4.Measure of rural construction land consolidation potential 4.1The measure of the theory of potential 4.2 The measure of the realistic of potential 4.2.1The model of the realistic of potential (2) 4.2.2The factors analysis of Real flow potential influence and determination of weight According to the formula (2) to calculate practical potentiality.
In view of the above indicators is more, and have a certain correlation, so first of all, using the principal component analysis (pca) on the dimension reduction, the screening of the more important factors in the process of circulation, the evaluation index system in order to achieve the operability and universality of requirements.

EBSD Data Acquisition.
The EBSD data was acquired using the software Aztec from Oxford Instruments.
Data Cleaning and Definitions for Map Components.
A careful noise reduction of the EBSD data was performed by replacing incorrectly indexed isolated points with copies of neighboring points and by filling unindexed points which had at least five indexed neighbors with copies of neighboring points.

Studies of centrally compressed concrete elements in our country over the past 20 years have allowed us to develop methods for calculating them, based on empirical data [1].
In the process of developing methods for calculating short central compressed PCT columns [4, 5], the authors, like the researchers of classical tube concrete, were forced to use empirical data, in particular, the coefficient taking into account the friction between the concrete and the PCT shell.
In the current work, the authors consider the influence of tangential friction forces at the joint between the layers of the concrete core and the plastic tube on the stress-strain state of the PCT column under the assumption of elastic work of the core and tube materials, taking into account the experimentally obtained data on the effect of friction on the stress-strain state of the PCT column.
value of R(b,sh), then the stresses in concrete and plastic are found using the following, obtained earlier, formulas: σf1=Nk1Ab+k2Af, (3) σf2=Nk1k2Ab+Af, (4) σb3=NAb+k2k1Af, (5) where the coefficients k1, k2 are found by the formulas k1=(μb13+2μb12μf-1)αftR+k3νbαfνf(μf2-1)μf-μb13, (6) k2=(2μb12+1)μb13-1αfνfk3νbtR+μb13μf-1μf-μb13, (7) where νb — coefficient of change of the secant modulus of concrete under uniaxial compression at the top of the diagram; μf — Poisson's ratio of pipe material; νf — coefficient of change of the secant modulus of the tube material; t — tube wall thickness; R — inner radius of the tube; αf=EfEb — reduction
The distribution of shear stresses at the contact: a — P = –200 N; b — P = –600 kN Summary The analytical dependencies presented in the article, the analysis of experimental data and the method of calculating the parameters of the stress-strain state of the columns based on them make it possible to take into account the actual friction between the concrete core and the plastic shell.

., USA) and data were acquired and analyzed by Astra software, Astra 5.3.4 (also supplied by Wyatt Technology Co., USA).
Rg Data in Table 1 were understandable.
Molecular weight parameters of KGM and a series of DCKGM (KGM data obtained in water, DCKGM data from THF) Sample number DS% Mw(x105) D=Mw/Mn Rg (nm) KGM 0 10.80 (1%) 1.592(2%) 102.9(0.6%) DCKGM1 0.3 9.031(2%) 2.282(2%) 130.7(0.6%) DCKGM2 0.47 7.935(2%) 2.320(2%) 123.7(0.7%) DCKGM3 0.51 6.074(3%) 2.493(3%) 109.7(1.0%) DCKGM4 0.55 5.695(1%) 2.539(2%) 97.3(0.7%) FT-IR analysis.
The significant reduction of water absorbency is proportional to esterification DS.

Collecting semantic vocabulary Collecting samples Product Using the semantic differential method for data processing Establishing the semantic image space Analyzing the number of subjects Fig. 1 Kansei Engineering process The Establishment of Laptop Bag Semantic Space Method.
Data Analysis.
Firstly, enter the original data into SPSS data editor window. 25 variables were named var001 ~ var025.
Secondly, select analysis→ dimensionality reduction→ factor in the menu of the SPSS window, tune out factor analysis of the main dialog box, and move the variable var001 ~ var025 into the Variables box, to keep the system default option.