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We show how the results can be used with experimental data to calibrate DPI.
The results can then be used to assess the reduction in diffusivity with engineered improvements of the GB network.

Every first-degree element connects to each other closely as a dynamic integration, forming a big PDCA cycle model(big closed loop ); each second-degree element specifies several questions that have great relevance to the improvement of safety performance, depression of human and property loss risk, and reduction of work stoppage in enterprises; at the same time, the second-degree elements form a small PDCA cycle model(small closed loop ) with the method of one ring linked with another through four sections which are called “plan”, “do”, “check” and “action”.
specific measures for safety standardization management. personnel training ①Awareness training for the manager, deputy managers, chief engineers. ②Training for the ministers of security sectors and workgroup of standardization system. ③Training for the establishment steps and methods of standardized management. resource allocation Institute the mobilize resources such as people, property and materials in the establishment process of the system and coordinate the construction of the standardization system. construction of approach system as well as laws and regulations ①Draw up general and annual security policy and objectives. ②Formulate safety indicators and assessment methods. ③Establish a responsibility system for production safety and crystallize safety responsibilities of units, departments and personnel at all levels. ④Identify applicable safety laws and regulations timely for the sector; trail the revision situation of relevant laws, regulations and standards; collect the data

Thus reduction in the use of plastic is another approach that can reduce environmental problems.
Guettala, A.Kriker, Mechanical propertries and hygroscopicity behavior of compressed earth block filled by data palm fibers, J.

Simplified structural analysis were carried out with data on materials, geometry, dimensions and previous collapses deduced from the usual experimental techniques on masonry [7].
The equilibrium with only compression stresses is not allowed if the stiffness reduction of the Winkler springs k overcomes 40%: those values are possible for the variability of the mechanical properties of the ground due to water penetration and justify some real situations. 3.3 Out-of-plane equilibrium In a simplified model the arch is isolated and assumed as a rigid body on elastic soil, applying several load conditions.

(2)Data collection and processing.
Use of "Statistical Yearbook of Heilongjiang Reclamation", collected the data from2004 to 2008 in Heilongjiang reclamation area and the reference to the 2004-2008 national, provincial and reclamation of the economic and social development statistical communiqué , we validate and complement the relevant data.
Through analysis and calculation, we obtain the evaluation index of the raw data (Table 2) [9].
There are 8 evaluation indexes for each sample(8 dimension data).
By contrasting with the previous farmers' income growth trend of each index data in reclamation area, these are in consistency with the conclusion drawn from the investigation and analysis of the actual statistic data.

Nevertheless, welding defects generated during the process result in reduction in strength of both the weld; and heat affected zone which could limit its applications.
SS Ib [mA] v [mm/s] If [mA] Hardness [BHN] Yield strength [MPa] PD [mm] BW [mm] 1 2 3 4 5 6 7 8 9 0 3 6 6 0 3 3 6 0 15 18 21 15 18 21 15 18 21 4 4 4 7 7 7 10 10 10 909 906 903 906 903 909 903 909 906 73.5 70.02 64.96 72.77 75.68 74.25 79.68 78.77 76.67 157 144 126 148 181 202 140 240 198 4.32 5 5 3.58 5 5 3.52 5 5 4.05 5.27 5.41 3.72 4.19 3.92 3.79 3.65 3.95 Figure.1 Hardness profile across the FZ, HAZ and BM Data preprocessing After performing the experiments and measuring yield strength, hardness, PD and BW the grey relation analysis was used to obtain the optimal welding parameters leads to maximum yield strength, hardness, and PD and minimum BW.
According to the data in Table 4, the absolute difference of array ∆0,i(m) and grey relational coefficient γi are obtained, respectively, from the analysis model of grey relational analysis.

The experimental Roll Diffusion Bonding (RDB) pilot plant permits a reduction of process costs of about 40% with respect to the HIP process.
The process parameters needed for the design of the pilot-equipment (rolling speed; strain-rate; temperature; pressure etc.) have been defined by means of literature data and experimental hot-compression tests including some pack-rolling tests.
These data are in good agreement with the results of mechanical tests which evidence better mechanical properties of RDB composite.

The data were rounded handled.
Use MATLAB2012 software to calculate the model data.
We obtained the original data sequence of variablesx(0) by the raw data.
Due to the different data distribution characteristics of oil ，natural gas and coal data, the simple gray prediction method prediction error is greater than 3%.
So, when we use gray prediction method to predict the oil and gas data, calculate corresponding residuals on the basis of year forecast data.

Specifically, NP pilots (i.e. ’s for ) and edge null subcarriers are embedded into x to split the data subcarriers into isolated data clusters.
These data subcarriers, i.e.
for with ND as the total number of data subcarriers, carry the transmitted information.
These recovered data will be demodulated (e.g., QPSK demodulation) into information bits.
QPSK is used to modulate the data and pilot subcarriers.

Hypothetical data sets were applied to the HCIS-NO3 model to simulate the nitrate pollutant concentration along the river downstream.
The observed nitrate concentration data obtained from uMgeni Water for the year 2014 were used to evaluate the model.
Thus, the observed data for the first sampling point (RMG003) were applied as the boundary condition for the model simulation.
The results of the model simulation were compared with the measured data obtained from other sampling points.
Table 3 gives the final calibrated data for other kinetic parameters considered for the model simulation.