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The XRD2 pattern can be analyzed directly or by data reduction to the intensity distribution along g or 2q.
Diffraction Vector Containing g Variable In XRD2 data analysis, the diffraction intensity distribution in both 2θ and g directions should be considered.
The size range of g profile analysis can be further extended by instrumentation and data collection strategy.

X-ray diffraction (XRD) was used to test the crystallization properties of films, and relative calculation was conducted based on the diffraction peak width data in the XRD spectra to obtain the relationship between the grain size and laser fluence.
Full width at half maximum data of each diffraction peak is obtained by fitting of Mo (110) orientation diffraction peak under each laser fluence (XPS peak).
As shown in Figure 2, a fitted curve is obtained with data fitted by Equation (5).
Soft x-ray reduction lithography using multilayer mirrors [J].

Especially, the min-process blocking checkpointing approach may actually have little effect depending on message exchanging patterns such as data parallel, cascading linking and so on[7].
In this paper, we propose a non-blocking coordinated checkpointing protocol to be able to significantly reduce checkpointing synchronization overhead by structuring the peer-to-peer network into a set of groups according to a particular criterion such as geographical topology, data dependency, inter-process communication frequency and so forth.
In order to address this scalability problem of the previous protocol, we introduce an efficient non-blocking coordinated checkpointing protocol to divide a peer-to-peer network into a set of cells according to a particular criterion such as geographical topology, data dependency, inter-process communication frequency and so forth.
This analysis result verifies that the topology-awareness of ONCCP can contribute to gaining high reduction of communication overhead resulting from the conventional non-blocking coordinated checkpointing procedure.

Result and Discussion For the first step of this study, validating the CFD simulation result with the previous experimental data is a must to ensure the method used is undoubted in terms of authenticity and reliable for further optimization step.
According to the result as in fig. 2, the data obtained from the simulation have similar trend pattern with the experimental for both transient and steady.
Velocity contour result gives the reduction of velocity gradient and wake formation behind the blade which is due to the blockage of frontal blade during the rotational motion.
Summary · The results obtained by performing CFD simulation method from both steady and transient cases were compared with the experimental data from previous study

Each controller exchange data through CAN（control areal network） bus.
In remote driving mode, the data exchange between wireless communication system and vehicle is completed via RS232.
Fig.1 Diagram of hybrid drive scheme380V 220V 48V 24V 12V Output voltage Battery Controller Engine Generator Power Converter Power Supply Interface Meter Power Supply Interface Integrated Controller Control Switch Steering Braking Accelerator CAN Bus Circuit Mechanical connection Reducer Motor Inverter Reducer Motor Inverter Reducer Motor Inverter Reducer Motor Inverter Tab.1 Reference data for matching calculation of drive motor Name of parameter value Name of parameter value Vehicle power factor 0.7 maximum speed /km·h-1 70 Final deceleration ratio 10.5 Maximum grade ability /Deg 32 Quality of the vehicle（kg） 1200 0-32km/hAcceleration time/s ≤4 Driving wheel radius /mm 330 72-0km/hBraking time/s ≤4.5 wheels distance /mm 1330 Wheelbase /mm 1955 One hundred kilometer Fuel consumption / L ≤10 According to the requirements in Table 1, the matching calculation of driving motor including motor rated rate, maximum speed, maximum torque and rated
（2） where D is power factor of vehicle, m is the mass of vehicle, g is为Acceleration due to gravity, is final reduction ratio, is radius of driving wheel, if m=1000kg， =10.5， =330mm，D=0.7, according formula (1), we can obtain that the maximum torque output is 215.6N.m.

Theoretical symmetric fit well with measure data of which error is estimated.
Distortion comparison simulation and measurement: red represent simulation lower limit, black represent upper limit, and blue represent measure data by laser scanner.
Improved data reduction for the deep hole method of residual stress measurement.

Introduction Polymer matrix composites have brought the possibility of achieving important energy reductions into the full life cycle of these materials, especially in transportation applications where low weight and high strength and good corrosion resistance are required [1].
The general form of a WLF relationship can be written as (7): (2) where: (3) the constants c1, c2 and c3, are determined using a gradient-intercept graphical method applied to the experimental data obtained over a range of temperatures.
According to equations 1, 2, 3 and experimental data, the following isothermal fusion bonding model was developed for polysulfone thermoplastic adhesive film, (4) Eq. 4 allowed the strength (as measured by the recovery of shear stress) of a fusion bonded interface held at a constant temperature, T, for a total bonding time of t, to be predicted.
The non-isothermal model provided an excellent fit for the experimental data.

The structural assessments are dependent on factors over and above the condition of the structure, such as the experience of the assessor, the time available for the assessment and the data available, and does not always reflect the hidden defects produced by corrosion, temperature [1], debonding of reinforcements due to atmospheric conditions [2], etc.
Moreover, the reductions in natural frequency depends not only on the degree of damage to the structure but also the amplitude of the excitation signal, which indicates non-linear behavior that varies depending on the level of damage in a cyclical manner.
Excitation was actually introduced by means of a calibrated shaker (Fig. 2), data acquisition being carried out by means of a computer.
It may be noted that the values of resonance frequencies are comparable for all three beams, otherwise predictable phenomenon given that the test procedure was identical in all cases so that the results of the 3 data sets have the same characteristics.

It is seen that the size and width of the distribution of NPs increase, and the concentration of NPs decreases with a reduction of the scanning speed and a growth in the average laser radiation power (and, consequently, with a growth in the heating temperature of the silver surface).
Percentage of O, Cu, Ag before (Ag) and after (S11, S51 and S55) laser treatment calculated from SEM EDX data To determine the thickness of the modified silver layer, areas were etched with a depth of 2–3 μm, a length of 4–6 μm, and a width of 1–3 μm using a focused ion beam.
A – TEM image in multibeam conditions; B – microdiffraction from the NPs in a selected area (diameter 80 nm) The experimental and reference data for the silver lattice parameters are presented in Table 1.
Calculation results of diffraction patterns of the silver cubic lattice (comparison of experimental and theoretical data) hkl 111 200 220 311 222 400 Experimental value 2,35 2,03 1,43 1,26 1,19 0,98 Theoretical value Ag [12,13] 2,36 2,04 1,44 1,23 1,18 1,02 Then, reflection spectra were measured and the colorimetric coordinates of the silver surface after laser irradiation were determined.

Moreover, the rheological property is the basic of important processing data and theory.
Data processing The shear stresses, apparent shear rates, non-Newtonian indexes, shear rates, apparent viscosities were calculated according to the following equation (1) ~ equation (5): (1) (2) (3) (4) (5) Wherein tω is the shear stress, MPa; Δp is the differential pressure mounted on the both ends of capillary, Pa; L, R are the length and radius of the capillary respectively, mm; γ’ω is the apparent shear rate, s-1; Q is the volume flux of the capillary, mm3/s; n is the non-Newtonian index; γω is the shear rate, s-1; ha is the apparent viscosity, Pa·s.
The data in Table 2 indicated that the temperature –sensitivity of apparent viscosity of PA1010/POE/OMMT is relatively weak.
At last, the reduction of the viscous activation energy with the increase of shear stress showed a faded temperature–sensitivity of apparent viscosity, and therefore the PA1010/POE/OMMT nanocomposites can be processed over a wider temperature.