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Most are coarse-grained disseminated minerals, while some are fine-grained disseminated minerals.
Most of the valuable mineral presents are coarse-grained.
In addition, majority of minerals are coarse-grained and disseminated, with a small number being fine-grained and disseminated.

At present the fingerprint identification system matching work mainly based on two fingerprint two characteristics: grain shape and feature points.
Although many researchers to fingerprint classification problem has a lot of work [1] and [2], but so far the fingerprint of the high rate of deterrent classification still now, how to reduce the rate of grain shape classification deterrent in automatic fingerprint identification system study is still is a difficulty.
Three cases for the formation of ridge bifurcation This paper designs an algorithm, the empty, burr and short line form pseudo feature point and remove, the algorithm of the specific steps are as follows: For the feature point sets AllMark [ ] of the current point; If a fork out around the point that the three directions in the number of black spots of deposit,Pastpoint[ ], and set the current number and extension to the judge points threshold, into the second step; If the endpoints, number of extension set threshold, into the step 8: The judge fork points along the straight line, looking for extension of the eight points online the neighbourhood is not in the pastpoint [ ] an array of black spots; If this time has been three direction return values, into the step 7; If the current extensions step length not more than set extensions step length threshold and the current judge point is the characteristic and if endpoint, then write down the current extensions step length, and
the same, it can judge the judge and the point with the two return and point is produced by empty false characters point, which will be the two features the points from the feature point sets[ ] AllMark removed; If at least one direction is to return to the end, and the return to end to the current judge fork point step length less than the ones set regretting value, is that the current judgement and point and endpoint is by MAO Thorn produce false points, will they feature point sets from[ ]AllMark removed; from the current endpoint straight line, if in the threshold set number can ever find another ends, is that both are caused by the isolated short line, will the two ends AllMark removed from []; Began to determine the next AllMark [ ] a feature points, to return to the first step.
So the thinning algorithm to certain lines on the direction of spike is very sensitive, makes a little grain online bumps could not be completely delete, finally evolved into burr.

Results and Discussions Figure 1 shows the Cu contents in Cu-doped NiO films with various numbers of Cu chips, which are measured by EPMA.
It is found that the Cu content in the films almost increases linearly with the number of Cu chips.
Further increasing the number of Cu chips to 12, 16, 20 and 24, the Cu content in NiO-Cu composite films are further increased to 9.18, 11.35, 16.17 and 18.17 at.%, respectively.
The fine grains with large amount of grain boundaries are obtained by NiO-Cu composite films having higher Cu content, which would hinder the movement of carrier.
This result may be attributed to the light scattering by large amount of grain boundaries, and therefore decreases the transmittance of Cu-doped NiO films with increasing Cu content.

To give the proper picture about the number of minerals that constitute rocks, it should be pointed out that only the silicates group includes about 800 kinds of minerals, which belong to different subgroups.
The crypto-crystallite fine-grained rocks possess the highest hardness.
They are made of minerals of high hardness, whose grains are directly bound; those are the magmatic rocks, quartzite, quartz sandstone, etc.
The low hardness characterizes rocks formed by the minerals of low hardness, whose grains are indirectly bound by natural bindings like cement.
Fine-grained rocks, with well-rounded grains, have higher values of the elasticity modulus than the coarse-grained rocks of the same composition.

Therefore, geometric dimensions, number of nodes and elements of soil thaw-settlement simulation model are the same with the temperature field simulation model .The concrete model is shown in Fig.4.
In the numerical simulation, the stress effect of ice on soil grain is not considered, ice and soil grain are treated as one combination.
The following explanation can be given for the phenomenon：in the numerical simulation, the effects of soil grains are not considered, so the densification effect of ice on soil grains in not reflected in the simulation results.
In place where the stress is great, it is caused the soil grains migration and the soil is compacted.
All of these phenomena lead the distances between soil grains to be smaller, and the soil to be denser.

In addition, twins are visible occurring especially in large-sized grains.
Fine, recrystallized grains are arranged dynamically at the boundaries of dynamically recovered austenite grains elongated in the direction of rolling.
They are arranged mainly at the boundaries of the elongated grains of the statically recovered austenite, and are often situated also on the boundaries of twins.
The slip lines existing in both systems are mutually intersecting in the conveniently crystallographically oriented grains.
If the degree of deformation is increased to 20%, the number of deformation bands is growing and few deformation twins occur (Fig. 3b).

Then a random number, R, is generated between 0 and 1 and the jump is accepted if R < p.
The number of bcc atoms that can be inserted in this way is lower than the number of fcc atoms that have to be removed.
The decrease of jump yield (Y ) with a decrease of the number of missing atoms (cf.
The multilattice kMC is equally suited for the simulation of moving grain boundaries.
Experimental results indicate that the α/γ mobility is by orders of magnitude smaller than the mobility α/α grain boundaries.

Considerable differences in hardness between the materials obtained from the two infiltration routes have been observed, with higher hardness numbers achieved with direct infiltration of green compacts.
Considerable differences in wear quality and friction coefficient between the materials obtained from the two infiltration routes have been observed, with higher wear quality numbers achieved with direct infiltration of green compacts.
Figure 5 shows tungsten carbides located within the grains and on the grain boundaries as well.
As it is apparent from Fig. 15, WC reacts with the surrounding HSS matrix and forms a tungsten and ironrich M6C carbide grain boundary network.

The viscosity of the slurry was maintained at 27 sec measured using zahn flow cup number 5.
Fig. 2: Dried patterns Mould was prepared by filling unbounded silica sand with grain fineness number of 40-60 (AFS).
On the other hand with usage of finer grain sand size from 16-30AFS up to 60-100AFS, the amount of porosity is decreased in high pressure which are 3 bar and 4 bar.
The effect of finer grain sand size simultaneously cause full filling and no cavity in thin section that is known as a fast cooling section (3mm).

Due to the high atomic number of its elements (ZPb =82, ZI =53), it is a material with potential use as an ionizing radiation detector (X and γ rays) [3-5].
This indicates a large number of Bragg planes and hence a higher diffraction intensity the intensity of (001) peak seems to be with a limited change for the three annealing temperatures.
From the diffrograms, one can calculate the average grain size and determine whether the deposited films suffer from stress or not.
From these values, the influence of thickness and annealing temperature on the lattice parameters is shown in Tables 1 and 2.The average grain size was determined from the full width at half maximum (FWHM) for the most intense peak using the Scherrer's Formula [13]: (2) The FWHM is an indication of the existence of dislocation in the material [13].
The low fluctuation in the value of structure parameters is due to the fluctuation in the lattice parameters which is attributed to the stress (positive or negative) which is associated with the increase or decrees in grain size.